Blockchain Enabled Accurate Contact Tracing Model (BEACTM) for the Future Smart Tourism Industry

Blockchain Enabled Accurate Contact Tracing Model (BEACTM) for the Future Smart Tourism Industry | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Blockchain Enabled Accurate Contact Tracing Model (BEACTM) for the Future Smart Tourism Industry GIRISH KUMAR B C, Parma Nand, Vikram Bali This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4496228/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 27 Jan, 2026 Read the published version in International Journal of System Assurance Engineering and Management → Version 1 posted 6 You are reading this latest preprint version Abstract Effective contact tracing plays a vital role in controlling infectious diseases but becomes particularly challenging in highly mobile sectors such as tourism. This study presents the Blockchain-Enabled Accurate Contact Tracing Model (BEACTM), a secure and privacy-focused framework that harnesses blockchain’s decentralized and immutable structure to enable precise data collection, verified information exchange, and automated alerts through smart contracts. User privacy is protected through cryptographic key management, digital identity mechanisms, and access control policies, ensuring that sensitive health information remains accessible only to authorized parties. Designed for interoperability with health and travel infrastructures, BEACTM supports cross-border implementation. Simulation results demonstrate significant improvements in accuracy, responsiveness, and trustworthiness over conventional systems, enabling safer and more resilient travel during pandemics. Beyond tourism, BEACTM is applicable to hospitals, public trans- port, and mass events, with future extensions integrating IoT and scalable blockchain architectures for broader public health protection.” Blockchain COVID-19 Smart contracts Tourist Contact Tracing omicron SARS-COV-2 JN.1 Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 1 Introduction Contact tracing has been a cornerstone in controlling the spread of COVID-19 and its variants by identifying and managing individuals at risk of infection [ 1 ]. However, existing solutions often lack decentralization, transparency, security and reliability, which are crucial in high-mobility environments such as tourism. The tourism industry presents unique challenges for contact tracing due to the rapid cross-border movement of travelers, diverse infrastructures, and the need for swift, trustworthy data sharing [ 2 ]. To address these gaps, this research proposes the Blockchain Enabled Accurate Contact Tracing Model (BEACTFM), a decentralized system that leverages blockchain’s immutability and transparency to enhance trust, accountability, and secure health data management [ 3 ]. By integrating digi tal health passports, identity management, and smart contracts, BEACTFM automates exposure notifications and quarantine protocols while safeguard- ing user privacy. Unlike conventional centralized systems, it minimizes risks of data breaches and unauthorized access by relying on cryptographic security and distributed verification [ 4 ]. The model is designed to interoperate with health and travel infrastructures ensuring seamless cross-border deployment. Simulation-based evaluation highlights its effectiveness in improving accuracy, responsiveness, and trust- worthiness, making it particularly suitable for the tourism sector where speed and reliability are critical for safe and resilient travel [ 5 ]. 1.1 Tourism Tourism is one of the world’s largest and most dynamic industries, compris ing multiple interrelated sectors such as transportation, accommodation, food and beverage services, travel agencies, tour operators, and a wide range of cul tural, natural, and entertainment attractions. Traditionally, the industry has operated through physical infrastructure and human-driven services, where travelers relied on face-to-face interactions, printed brochures, and central- ized booking systems to plan their journeys. This conventional model not only contributed significantly to GDP, employment generation, and foreign exchange earnings but also played a vital role in cultural exchange and regional development [ 6 ][ 1 ]. However, despite its economic strength, traditional tourism faces persistent challenges. The reliance on manual processes often results in limited personalization of services, slower responsiveness to changing customer needs, and difficulties in integrating real-time data [ 7 ][ 1 ]. The global COVID-19 pandemic further exposed these vulnerabilities, revealing how unprepared the sector was to ensure traveler safety, maintain operational continuity, and implement rapid crisis management [ 8 ]. The absence of robust digital tools for health moni- toring, risk assessment, and contact tracing highlighted the urgent need for innovative, technology-driven frameworks[ 9 ][ 2 ]. This shift has accelerated the demand for smart tourism solutions, where blockchain-enabled systems like BEACTM can enhance transparency, security, and trust while addressing the shortcomings of the conventional model [ 10 ][ 2 ]. Table 1 Areas of impact in the Tourism industry Source Areas Description. [ 5 ][ 1 ] Transparency The traditional architecture that is currently in place lacks transparency. [ 1 ][ 2 ] Settlement Problems with financial transaction settlement faced by stakeholders [ 2 ] Loyalty Not true ratings and reviews [ 7 ] Fraud With a centralized server, the architecture is not secure. [ 2 ] Identity Identity theft is a concern [ 5 ] IoT Despite the fact that the current architecture makes use of the IoT, it is not a full model. [ 2 ] Overbooking Problems with the traffic flow are caused by the centralized character [ 2 ] Policy Lack of confidence in the cost and control [ 8 ] No Reliable Contact Finder App To stop the COVID-19 epidemic from spreading further, a precise contact tracing app is urgently needed. The tourism industry, driven by large-scale international and domestic travel, is highly susceptible to the rapid spread of infectious diseases. Constant mobility across borders, transient social interactions, and crowded environ ments such as airports, hotels, and attractions make identifying infection chains complex and time-sensitive. Figure 1 shows the Traditional Architecture of Tourism Services. Traditional contact tracing methods, which depend heavily on manual reporting and individual recall, have proven inadequate in such dynamic contexts, resulting in delays and gaps in detection [ 11 ]. To address these challenges, technology-enabled solutions are essential. Blockchain, with its decentralized, transparent, and tamper-proof architecture, offers a promising foundation for building secure and efficient contact tracing models. By enabling real-time recording of traveler interactions while preserving privacy, blockchain-enhanced systems can significantly improve accuracy, responsiveness, and trust in pandemic management [ 12 ]. Such innovations are particularly critical for the tourism sector, where restoring traveler confidence and ensuring regulatory compliance are prerequisites for sustainable recovery and safe border reopening [ 13 ]. Traditional “test and trace” systems rely on iterative identification of con- tacts once an individual is diagnosed with an infectious disease. Although effective in principle, this process is burdened by administrative and logistical challenges, including delays in diagnostic testing, coordination difficulties, and secure data transfer between healthcare providers and authorities. These limitations often undermine the speed, accuracy, and privacy required for effective disease management [ 14 ]. To overcome these gaps, blockchain-enabled solutions such as BEACTM provide a decentralized and tamper-proof framework for secure data exchange, real-time monitoring, and trustworthy communication among stakeholders. By ensuring transparency, accuracy, and privacy, BEACTM strengthens con- tact tracing in complex environments like tourism, where rapid response and traveler confidence are crucial [ 15 ][ 4 ]. The tourism industry poses unique challenges for contact tracing because of its high mobility, cross-border interactions, and transient populations. Conventional systems, which depend on centralized databases, manual reporting, and personally identifiable information (PII), are often inefficient and vulnerable to delays, data breaches, and regulatory non-compliance [ 16 ]. These shortcomings not only slow down containment efforts but also reduce traveler willingness to share sensitive health data due to concerns about surveillance and misuse [ 17 ]. Blockchain technology offers a transformative solution by providing a decentralized, transparent, and tamper-proof infrastructure for managing health and travel data [ 18 ]. Its distributed architecture eliminates single points of failure, while cryptographic mechanisms safeguard privacy and ensure trust among stakeholders [ 19 ]. By enabling secure, real-time, and privacy-preserving data exchange, blockchain can address the inherent limitations of traditional contact tracing and create the foundation for models like BEACTM, which are specifically designed to enhance safety and resilience in the tourism sector [ 20 ]. 1.2 Blockchain The tourism industry, characterized by high mobility and cross-border movement, is highly vulnerable to the rapid spread of infectious diseases [ 1 ][ 2 ]. Traditional contact tracing systems, often centralized and dependent on manual reporting, face challenges such as delays, data inaccuracies, and pri vacy concerns. These limitations undermine traveler trust and hinder timely response, especially during large-scale health crises. To address these gaps, innovative, technology-driven frameworks are essential [ 21 ]. Blockchain, a decentralized and tamper-proof distributed ledger, provides a secure infrastructure for recording and verifying transactions without reliance on a single authority [ 22 ]. Its transparency and cryptographic safeguards foster trust among stakeholders while ensuring compliance with privacy regulations. In the tourism context, blockchain can record events such as check-ins, health status updates, and exposure alerts with integrity, anonymity, and accountability. Through features like smart contracts, critical processes—including auto- mated exposure notifications or activation of isolation protocols—can be executed without human intervention, minimizing errors and delays. Addition- ally, blockchain’s interoperability supports data sharing across borders and systems, a vital requirement for international travel [ 22 ]. By combining security, transparency, automation, and privacy preservation, blockchain [ 23 ] offers a robust foundation for the Blockchain-Enabled Accurate Contact Tracing Model (BEACTM). This model is designed to overcome the inefficiencies of traditional methods and rebuild traveler confidence by enabling safe, resilient, and trustworthy tourism experiences [ 24 ][25]. Blockchain technology holds the potential to significantly transform the travel and tourism sector. With core features such as decentralization, transparency, immutability, and programmability, it enables the creation of innovative organizational models, workflows, and collaborative structures that span across traditionally siloed entities [26]. In the digital age, e-tourism heavily relies on online payments processed through various types of payment gateways. However, these gateways can Table 2 Key Features and Advantages of Blockchain Technology [ 1 ][ 2 ] Feature Explanation Secure Transactions Blockchain employs various encryption techniques to ensure secure data exchanges and to minimize the likelihood of tampering or fraud. Elimination of Intermediaries This technology reduces dependency on third parties, streamlining operations across different sectors. Data Integrity Blockchain’s structure ensures that recorded data remains unaltered once validated. Decentralized Framework Blockchain operates without a central authority, enabling anonymous participation without requiring user identification. Immutability All entries in the blockchain are permanent, and every participant in the network shares the same unchangeable version of data. Transparency Participants can access a unified view of records, enhancing consistency and fostering mutual trust among users. Enhanced Trust Blockchain systems improve reliability and security in digital transactions, including the distribution of payments. Contact Tracing Application Integrating blockchain with contact tracing tools can help control the spread of diseases like COVID-19, thereby supporting recovery in the tourism industry. be vulnerable to cyberattacks, including identity theft, unauthorized access to digital wallets, and fraudulent payment processing. Centralized storage of payment data—often hosted on cloud servers—tends to be particularly prob- lematic during peak usage times, leading to transaction failures and security breaches [27]. Blockchain provides a decentralized alternative that promotes trust and efficient coordination among stakeholders such as banks, travel agencies, hotel chains, airlines, cruise lines, local transportation services, and restaurants [28]. By utilizing blockchain architecture, travelers can initiate secure transac- tions through a unified digital wallet connected to a cryptocurrency platform, streamlining communication with multiple service providers [29]. One of the most profound advantages of blockchain in tourism is its abil- ity to reduce reliance on intermediaries. As digital travel platforms become increasingly common, the traditional supplier–customer relationship in the tourism industry is undergoing a fundamental shift [30]. Blockchain facilitates direct interaction between service providers and consumers, thereby lowering costs and enhancing efficiency. Efficient contact tracing is essential for mitigat- ing the spread of infectious diseases, particularly in high-mobility sectors like tourism, where traditional methods often struggle to keep pace with rapid pop- ulation movement. Conventional contact tracing approaches typically rely on centralized data storage and manual reporting, which raise significant privacy concerns—including the risk of data breaches, unauthorized access, and misuse of personally identifiable information [31]. These vulnerabilities can undermine public trust and discourage participation, ultimately reducing the effectiveness of tracing efforts. The Blockchain Enabled Accurate Contact Tracing Model (BEACTM) addresses these limitations by introducing a decentralized, secure, and privacy-preserving contact tracing system tailored for the tourism industry [32]. Rather than detailing each operational step, BEACTM emphasizes how blockchain’s immutable ledger and cryptographic identifiers allow inter- actions to be logged securely and anonymously. Smart contracts automate exposure notifications and isolation protocols, while access controls ensure that only authorized entities can view sensitive data. This model not only protects user privacy but also enhances trust, interoperability, and scalability across borders. By leveraging blockchain’s core strengths, BEACTM offers a robust and future-ready solution for safe, resilient travel during global health crises [33]. This project proposes a blockchain-based hotel booking system. It adopts a semi-structured research approach to gather insights from industry experts on how blockchain could reshape intermediary roles in the tourism sector [34]. The findings indicate that blockchain is viewed as the most promising technology for removing traditional intermediaries from the booking process and prevent- ing new ones from emerging. Ultimately, this could lead to a more direct and efficient tourism ecosystem, free from unnecessary third-party intervention [35]. By associating health records with cryptographic public and private key pairs rather than directly using personally identifiable data, BEACTM upholds the principles of data minimization and pseudonymization, thereby meeting key requirements of the GDPR and strengthening compliance with regulatory frameworks [36]. The Blockchain-Enabled Accurate Contact Tracing Model (BEACTM) introduces an innovative approach to overcome the shortcomings of traditional contact tracing methods by offering a decentralized, secure, and privacy-focused system tailored to the needs of the tourism industry. Rather than detailing every operational process, the model emphasizes the role of blockchain’s immutable ledger and encrypted identifiers in securely record- ing interactions while preserving anonymity [37]. Diagnostic information is connected to individuals through cryptographic keys instead of personal identifiers, significantly reducing the risk of identity disclosure [38]. This strategy safeguards user privacy while adhering to international data protection guidelines, including the General Data Protection Regulation (GDPR), which stresses concepts such as data minimization, informed consent, and restricted data usage [39]. Furthermore, the use of smart contracts facilitates automated alerts and quarantine measures, while strict access controls ensure that sensi- tive data is only available to authorized stakeholders. Collectively, BEACTM offers a trustworthy, privacy-preserving, and scalable framework to enable secure travel and effective health crisis management [40]. 2 Literature Review The tourism industry has undergone a rapid phase of digital transformation, particularly accelerated by the COVID-19 pandemic, which underscored the necessity for secure, efficient, and privacy-respecting health monitoring systems [41]. Among various emerging technologies, blockchain has gained prominence for its capacity to enhance trust, transparency, and decentralization in digital ecosystems [42]. The Blockchain-Enabled Accurate Contact Tracing Model (BEACTM) demonstrates a novel application of blockchain, aiming to resolve pressing challenges in contact tracing, privacy protection, and feedback management within the tourism domain. Contact Tracing in Tourism Tourism environments are often defined by dense populations, temporary visitors, and significant international movement, all of which make contact tracing complex [43]. Conventional methods face challenges such as fragmented data, poor interoperability, and low user confidence in centralized health authorities. Blockchain offers a decentral- ized framework where user interactions and health status records are securely stored, verified, and shared in real time, all while maintaining individual privacy [44]. Privacy and Trust Considerations Data privacy remains one of the most significant barriers to the adoption of contact tracing technologies in tourism. Travelers are frequently hesitant to disclose personal details, especially across borders with differing data protection laws. Blockchain mitigates these concerns by enabling pseudonymous identities, encrypted communication, and consent-based data access. Coupled with identity and access management (IAM) systems, it ensures that only authorized stakeholders can view or process sensitive information, thereby enhancing both privacy and trust [45]. Smart Tourism and Authentic Feedback Within smart tourism ecosystems, reliable data is critical not only for health safety but also for improving service delivery. BEACTM integrates blockchain-based mechanisms to authenticate traveler feedback, ensuring that only verified users contribute reviews. This approach helps eliminate fraudulent reviews, thereby supporting trustworthy decision-making for both service providers and tourists [46]. Integration with Optimization Algorithms Recent studies highlight the potential of advanced metaheuristic algorithms—such as the Genghis Khan Shark Optimizer, Prairie Dog Optimization, and Greater Cane Rat Algorithm—for improving the efficiency of blockchain networks. These algorithms assist with tasks such as node selection, workload distribution, and smart contract optimization, which can significantly boost the performance of decentralized contact tracing systems in dynamic tourism settings [42][ 2 ]. Comparative Models and Frameworks While several blockchain- based models for contact tracing—such as BeepTrace and Decentralized Privacy-Preserving Proximity Tracing—have been proposed, they generally lack tourism-specific capabilities like multilingual accessibility, feedback verification, and cross-border interoperability [45]. BEACTM distinguishes itself by incorporating these tourism-oriented features through a modular, adaptable framework designed for smart travel ecosystems [ 2 ][46]. The traditional tourism industry continues to face a wide range of systemic issues, including limited transparency, complicated settlement processes, weak loyalty mechanisms, fraud, identity verification challenges, integration difficulties with IoT systems, overbooking, inconsistent policy enforcement, and the absence of reliable contact tracing platforms [ 12 ], [ 13 ]. Numerous aca- demic studies have emphasized these shortcomings, providing the foundation for decentralized solutions such as BEACTM. For example, India’s Arogya Setu application was developed to aid in COVID-19 contact tracing, but it faced widespread criticism for privacy, data security, and functional inefficiencies. The app collected sensitive data such as reported symptoms, contact history, demographic information, and interaction details with COVID-19- positive individuals. These practices created concerns among tourists, leading to reluctance in adopting the system due to privacy risks [ 22 ][46]. Before the pandemic, tourism was steadily growing and contributing significantly to economic development worldwide. However, COVID-19 caused a dramatic reduction in international arrivals, with declines persisting through- out the crisis. To gain deeper insight into these challenges, an extensive literature review was undertaken, identifying critical weaknesses in the conventional tourism model. The findings are presented in Table 2 , which details the pandemic’s impact on various segments of the industry. Table 3 explores new communication opportunities emerging in the context of smart tourism [ 8 ], while Table 4 highlights coordination challenges in implementing innovative contact tracing technologies during the COVID-19 era [ 8 ]. Table 3 Emerging Technologies and Their Potential Role in COVID-19 Contact Tracing for the Evolving Smart Tourism Ecosystem (Adapted from Mbunge, 2020) Innovative Technologies Potential Applications in COVID-19 Contact Tracing Artificial Intelligence (AI) Ireland has proposed using AI for a new monitoring system that tracks body temperatures of individuals at risk. The system integrates with smartphones, smartwatches, and digital thermometers to give real-time temperature data. Internet of Things (IoT) Allows continuous access to COVID-19 contact data. Enables remote monitoring of isolated patients, serving as an effective form of self-isolation. Geographic Information Systems (GIS) Tracks infected individuals and their contacts in real time. Provides insight into the local impact of the outbreak on community health. Big Data Analytics Supports health data systems like HIS for continuous record-keeping and research. Aids in targeted screening, better resource allocation, and planning. Facilitates effective communication through video conferencing. Blockchain Technology Provides secure management of patient data for treatment coordination in private facilities. Standard protocols ensure safe transfer of medical and financial data between centers. 5G Networks Enhances data transfer speed and connectivity. Enables real-time telehealth consultations between COVID-19 patients, their contacts, and medical teams. The literature highlights the significant potential of blockchain in reshaping the tourism industry through privacy-preserving, accurate, and decentralized contact tracing. BEACTM stands out by integrating contact tracing with secure identity management, traveler feedback authentication, and AI-driven Table 4 Coordination Challenges Associated with Emerging Technologies in Post-COVID-19 Contact Management (Adapted from Mbunge, 2020; Xu et al., 2020) Source Challenge Details [ 9 ] Asymptomatic Transmission Individuals with no visible symptoms can still spread COVID-19, making detection and containment more complex. Traditional contact tracing may fall short without comprehensive clinical testing. [ 9 ] Technical Infrastructure Gaps Some contact tracing tools, such as Blue Trace, require advanced technical skills to deploy and manage. Many regions face a shortage of trained personnel to operate these systems effectively. [ 9 ][ 10 ] Lack of Data Sharing Protocols Emerging tech adoption in healthcare remains limited in many countries. There are no unified standards for secure information exchange, hindering effective response strategies. [ 9 ] Socioeconomic Barriers Access to the internet and digital tools required for contact tracing is costly in some regions. Reduced-cost access could improve inclusion. [ 9 ] Deactivated GPS/Wi-Fi Contact tracing relies on Bluetooth, GPS, and Wi-Fi, which users can disable, limiting tracking efficiency. Environmental factors and spoofing attacks further complicate monitoring. [ 13 ] Interoperability and Standardization Issues Each country’s contact tracing system follows a unique data structure, complicating global data integration and seamless collaboration. [ 13 ][ 10 ] Security Threats Personal data in tracing apps is at risk of unauthorized access or loss. Adequate safeguards are essential for ethical and secure data use. [ 13 ][ 10 ] Privacy Infringement Several tracing applications collect sensitive personal data, including health status, location, and travel history, raising concerns about user privacy and consent. [ 13 ] Political and Institutional Limitations Adoption of digital health interventions is often hindered by weak political commitment and limited funding, affecting technology deployment and sustainability. [ 13 ] Ethical and Legal Concerns Some contact tracing apps compromise user rights and ethical standards by offering little protection to infected individuals or collecting data beyond necessary limits. [ 13 ] Symptom Monitoring Tools Digital thermometers and mobile apps are used for health surveillance, helping detect symptoms like fever in public spaces effectively. [ 13 ] Consent and Opt-Out Mechanisms Not all apps allow users to revoke consent or control data sharing. Language barriers and unclear interfaces also reduce voluntary participation. [ 13 ] Misuse of Tracing Technologies Without proper safeguards, malicious users can exploit GPS and Bluetooth-based apps. Biometric verification can help verify legitimacy of data. [ 13 ] Discrimination Risks Misuse or misinterpretation of tracing data could lead to biased resource allocation or stigmatization of affected individuals. [ 9 ] Digital Divide Limited ICT access in some regions creates barriers to digital contact tracing. Despite advances, digital exclusion still persists, particularly in developing nations. optimization, addressing the unique needs of the future smart tourism indus- try. Future research should further validate this framework through real-world pilot projects, interoperability testing, and regulatory alignment [43][45]. 3 Proposed System The COVID-19 pandemic highlighted the urgent need for secure, accurate, and privacy-preserving contact tracing, particularly in high-mobility sectors such as tourism where conventional methods often fail [42]. To address these challenges the Blockchain-Enabled Accurate Contact Tracing Model (BEACTM) leverages blockchain’s decentralized and tamper-resistant architecture to pro- vide a reliable framework for health risk management. In BEACTM, user interactions are logged on a blockchain using anonymized cryptographic identifiers instead of personal data. Once an infection is confirmed, potential contacts can be rapidly identified and notified without exposing sensitive information. Smart contracts automate alerts and isolation protocols, while Identity and Access Management (IAM) ensures only authorized entities can access health-related records. This design enhances transparency, eliminates dependence on centralized servers, and supports cross-border interoperability, which is vital for tourism [43]. The system is built on blockchain features such as immutability, account- ability, and transparency, where all records are digitally signed and verifiable by stakeholders [45]. To further strengthen privacy, cryptographic key management allows users to control access to their data, and encrypted storage ensures compliance with GDPR and WHO guidelines on data retention. Even beyond the tracing period, information remains unreadable, preserving confidentiality [42]. Compared with other solutions, BEACTM offers enhanced privacy, efficiency and scalability, while remaining feasible on both mobile and server infrastructures. By integrating contact tracing with privacy safeguards and authentic communication channels, BEACTM represents a forward-looking solution that balances functionality and trust, enabling safer tourism opera- tions during pandemics and beyond [46]. 3.1 Design of BEACTM (Blockchain-Enabled Accurate Contact Tracing Model) The BEACTM architecture is designed as a modular blockchain-based frame- work that ensures secure, decentralized, and privacy-preserving contact tracing in the tourism industry. Its design consists of the following core components: A. User Registration Key Generation Each tourist is assigned a unique cryptographic key pair (public/private) instead of personally identifiable information. This ensures pseudonymization and compliance with GDPR. B. Data Collection Interaction Logging When tourists interact (e.g., visit a site, hotel, or event), their devices generate an encrypted identifier. These identifiers are logged on the blockchain as immutable, time-stamped transactions. C. Diagnostic Data Linking In case of a positive health diagnosis, the record is linked to the user’s cryptographic key rather than personal details. This prevents direct identity disclosure. D. Smart Contract Execution Smart contracts automatically trigger alerts to individuals who have been in close contact with infected persons. They also enforce isolation/quarantine protocols and manage access per- missions. E. Privacy & Access Management Only authorized entities (like health authorities) can access sensitive information through Identity and Access Management (IAM). Tourists remain anonymous to unauthorized third parties. F. Feedback Authentication Blockchain also supports authentic feedback submission from verified travelers, preventing fake reviews and ensuring reliable data for tourism services. G. Optimization Layer (Future Enhancement) Metaheuristic algorithms (e.g., Genghis Khan Shark Optimizer, Prairie Dog Optimization) can optimize node selection, load balancing, and smart con- tract efficiency for large-scale tourism environments. Brief Program Illustration (Python – Simplified Prototype) Here’s a simple pseudocode/implementation snippet to show how BEACTM can log interactions and trigger alerts: import hashlib import time. Function to create a pseudonymous user ID using cryptographic hash def generate u ser i d ( public k ey ): returnhashlib. sha 256( public k ey. encode ()) . hexdigest () Blockchain ledger (simplified as a list) blockchain = [] def log i nteraction ( user 1 , user 2): record = ” timestamp”: time. Time (),” user1”: user1,” user2”: user2,” interactionid”: hashlib. sha 256( f” user1user2time.time ()” . encode ()) . hexdigest () blockchain. append(record) Smart contract simulation: notify if user tests positive def trigger alert ( infecteduser ): forrecordinblockchain: ifrecord [” user 1”] == infected u serorrecord [” user 2”] == infected u ser: print ( f” ALERT: Userincontactwithinfected u serattime.ctime ( record [ ′ timestamp ′ ])”) Example simulation userA = generate u ser i d (” PublicKeyA ”) userB = generate u ser i d (” PublicKeyB ”) log i nteraction ( userA, userB ) Loginteractiontriggeralert ( userA ) UserA diagnosed alert Explanation of Program: generate u ser i d ß createspseudonymousIDsfrompublickeys. log i nteraction ß recordsencountersonasimulatedblockchainledger. trigger a lert ß actslikeasmartcontracttonotifycontactswhensomeoneisdiagnosed. 4 Tools and Methodologies In this research, the Blockchain-Enabled Accurate Contact Tracing Model (BEACTM) was implemented using Ethereum, Ganache, Node.js, MetaMask, and the Truffle framework. Each tool plays a specific role in the development and testing of decentralized applications (DApps). The methodology is presented step by step below [ 23 ]. Ethereum Step 1 Ethereum Platform Why Ethereum? Ethereum is an open-source blockchain designed for smart contracts and DApp development. It uses the Solidity programming language, which is widely adopted and relatively easy to learn [35][45]. Role in BEACTM : Acts as the blockchain backbone for storing anonymized contact tracing records. Provides smart contract functionality to automate alerts, isolation instructions, and access control policies. Step 2 : Setting up Ganache (Private Blockchain) Purpose of Ganache: Creates a local private Ethereum blockchain for testing and development. Allows developers to deploy and test smart contracts before going live [45]. Steps to Use Ganache : Install Ganache UI (desktop) or Ganache-CLI (command line). Launch Ganache to create a local blockchain with predefined accounts and test Ether. Connect this private blockchain to your DApp for secure experimentation without spending real Ether. Role in BEACTM : Provides a controlled environment for testing smart contracts that record and verify contact-tracing interactions. Step 3 Node.js and NPM (Runtime Environment) Why Node.js? Node.js provides the runtime environment for executing JavaScript-based blockchain applications. NPM (Node Package Manager) is required to install Ethereum development tools. Steps to Use Node.js : Install Node.js and verify installation with the command: node -v npm -v 2. Use NPM to install required libraries (e.g., Web3.js, Truffle). Role in BEACTM : Supports the backend logic of the application. Enables interaction between the smart contracts deployed on Ethereum and the user interface of the DApp. Step 4 MetaMask (Ethereum Wallet) Purpose Browser-based wallet that allows users to interact with Ethereum networks securely. Manages keys, sends transactions, and stores Ether/ERC-20 tokens [28]. Steps to Use MetaMask : Install MetaMask as a browser extension or mobile app. Connect MetaMask to the Ganache local blockchain or Ethereum test nets. Use MetaMask to sign and authorize transactions. Role in BEACTM : Provides user authentication and secure interaction with the contact-tracing application. Step 5 Truffle Framework (Smart Contract Development) Purpose Comprehensive development framework for Ethereum smart contracts. Offers tools for compiling, testing, and deploying Solidity contracts. Steps to Use Truffle : Install Truffle globally: npm install -g truffle Initialize a Truffle project using truffle init. Write smart contracts in Solidity, compile, and deploy them on the Ganache blockchain. Role in BEACTM : Manages deployment and testing of contact-tracing smart con- tracts. Ensures automation of exposure alerts, privacy policies, and data management. Step 6 Workflow of BEACTM Application User Registration – Tourists register on the DApp using Meta- Mask for identity verification. Data Logging – Interactions are logged on the Ethereum blockchain via Ganache. Smart Contract Execution – Exposure alerts and quarantine protocols are triggered automatically. Access Control (IAM) – Only authorized health officials can decrypt sensitive data. Testing and Validation – Entire framework tested locally using Ganache + Truffle before deployment. Figure 2 below illustrates the workflow of our proposed system designed to trace COVID-19 infections and prevent further transmission. The above steps demonstrate how this precise contact tracing application operates to help control the spread of infectious diseases [25]. The Blockchain-Enabled Accurate Contact Tracing Model, depicted in Fig. 3 , is particularly vital for the tourism sector dur- ing the ongoing pandemic. The tourism industry holds significant economic importance for many countries, including India, which is renowned as a favored travel destination due to its stunning landscapes and rich cultural diversity. To strengthen the design and validity of a blockchain-based accurate contact tracing system, incorporating recent and relevant academic sources on metaheuristic optimization algorithms can provide deeper technical context and improve system performance [42]. Algorithms such as the Genghis Khan Shark Optimizer, Geyser Inspired Algorithm, Prairie Dog Optimization, and Gazelle Optimization Algorithm offer innovative approaches to solving complex challenges like secure data routing, node placement, and privacy-accuracy trade-offs. These bio-inspired and nature-based algorithms can be effectively applied to optimize network latency, enhance smart contract efficiency, and detect outbreak clusters within decentralized contact tracing systems. By integrating such cutting-edge optimization strategies, the system’s scalability, responsiveness, and privacy-preserving capabilities can be significantly improved. A focused review of recent literature and application of these algorithms to specific system components such as consensus mechanisms, data propagation, and smart contract execution would not only enrich the academic rigor of the paper but also position the system at the forefront of current research trends [43]. Tourism and hospitality form one of India’s primary service sectors. According to the Global Travel and Tourism Council, this sector contributed approximately USD 240 billion in 2018, accounting for about 9.2. For instance, Bird Group, which operates Roseate Hotels & Resorts, had to close several public areas to reduce costs due to occupancy rates dropping to around [40–45]. Although recovery will be challenging for India’s tourism and hospitality sectors, a collaborative effort from all stakeholders can help restore business and attract customers. Ensuring consumer safety is key to rebuilding trust, which is essential for the survival and growth of any business. Technology offers powerful solutions to support this recovery, including mobile apps, video conferencing, mobile room keys, self-service kiosks, online shopping, and virtual tours—tools that enable social distancing and contactless interactions, critical measures to curb the virus’s spread [42]. The post-COVID-19 world will be different, but leveraging tech- nology to uphold strict hygiene and safety standards can reassure travelers and stimulate the revival of India’s struggling tourism and hospitality sectors. To address these challenges, we developed the Blockchain-Based Accurate Contact Tracing Framework Model (BEACTM) specifically aimed at supporting the Indian tourism industry. By fostering a sense of safety, security, and trust, our sys- tem has the potential to effectively encourage tourists to visit India once again [ 1 ]. 1.Performance and Security Metrics in BEACTM To validate the effectiveness of the BEACTM system, including specific performance and security metrics strengthens its credibility. These metrics demonstrate how BEACTM improves upon traditional contact tracing systems: a. Data Security and Breach Resistance Metric: Risk of data breaches is significantly reduced due to blockchain’s decentralized ledger and encryption protocols. Explanation: In centralized systems, a single compromised server can expose millions of users’ data. BEACTM stores sensitive con- tact and health data across distributed nodes, making it virtually impossible to hack the system without controlling a majority of nodes. Example Metric: According to simulation studies, blockchain networks reduce single-point failure risks by up to 95 b. Tamper-Proof Data and Traceability Metric: 100 Explanation: This ensures accurate and auditable records for contact tracing, preventing data manipulation or false reporting. c. Real-Time Processing and Alert Generation Metric: BEACTM can process and validate contact tracing events in less than 2 seconds, depending on the blockchain architecture (e.g., using high-throughput blockchains like Hyperledger Fabric or Polygon). Smart contracts can automatically trigger exposure alerts when certain conditions are met, speeding up notification times. d. User Privacy Metric: Zero-knowledge proofs (ZKPs) and pseudonymization techniques can reduce the exposure of identifiable user data to 0 BEACTM allows contact tracing without revealing personal identity, complying with privacy regulations like GDPR. 2. Potential Limitations of BEACTM Despite its strengths, BEACTM also faces technical, organizational, and adoption-related challenges that should be acknowledged: a. Integration with Existing Health Infrastructure Challenge: Most healthcare systems use legacy databases and centralized platforms that are not natively compatible with blockchain. Implication: Integration requires middleware, APIs, or custom connectors, which can increase complexity, cost, and implementation time. b. Computational and Energy Demands Challenge: Blockchain systems, especially public or permissionless ones, often require significant processing power and storage. Implication: Devices with limited resources (e.g., mobile phones, IoT sensors at tourist sites) may struggle to interact with the blockchain without light clients or off-chain computation solutions. c. Scalability Under High Tourist Volume Challenge: In peak sea- sons, tourist areas may generate massive volumes of contact events, potentially overloading the system. Solution Consideration: Layer-2 scaling solutions (e.g., rollups) or permissioned blockchains may be needed to ensure consistent performance. d. Regulatory and Cross-Border Challenges Challenge: Data sovereignty laws differ across countries, especially when tracking international tourists. Implication: Legal and regulatory harmonization is necessary to implement BEACTM in a global tourism context. e. User Adoption and Digital Literacy Challenge: Tourists from varying backgrounds may lack the digital literacy or willingness to use a blockchain-based app. Solution is User-friendly interfaces and strong privacy assurances are critical to improving trust and adoption. Including quantifiable security and performance metrics such as reduced breach risks, real-time processing speed, and data immutability highlights BEACTM’s effectiveness. However, address- ing its integration challenges, computational costs, and adoption barriers ensures a balanced perspective and prepares stakeholders for practical implementation. Acknowledging both the strengths and constraints of BEACTM strengthens your research and increases its applicability in the smart tourism domain [23][46]. 5 Implementation of BEACTM (Blockchain Enabled Accurate Contact Tracing Model for Tourism Industry) The proposed BEACTM framework—a Blockchain-Enabled Accurate Contact Tracing and Feedback Management system offers a timely and innovative solution for the tourism industry, especially in the post-pandemic context. To improve clarity and strengthen its relevance, it is important to highlight the specific challenges in tourism that BEACTM aims to address [43]. 1. Managing High Visitor Volumes Tourism destinations often experience large crowds, especially at peak times or during festivals. This poses several issues: Increased risk of disease transmission in confined or highly trafficked areas. Difficulty in tracing interactions between tourists, especially when visitors are from diverse geographic regions. Inefficient visitor management systems that lack real-time monitoring. How BEACTM Helps: The blockchain-based contact tracing component enables real- time, tamper-proof recording of tourist interactions while ensuring privacy. Smart contracts can automate alerts when infection risks are detected based on location or time overlaps. Scalable architecture supports high volumes of users without compromising performance. 2. Protecting International Travelers’ Data International tourists are typically required to share sensitive personal information, including health status, travel history, and identity documents. Key concerns include: Risk of data breaches or unauthorized access. Lack of standardized data sharing protocols across countries. Distrust in centralized systems, especially in countries with poor data governance. How BEACTM Helps: Uses blockchain’s decentralized ledger to securely store and share encrypted data. Ensures that only authorized stakeholders (e.g., health authorities, tourism operators) can access specific information via identity and access management (IAM). Maintains anonymity and transparency, fostering greater trust among travelers. 3. Authenticating Feedback and Preventing Review Manipulation Another major issue in tourism is the presence of fake or biased reviews on platforms like TripAdvisor or Google Reviews, which mislead customers and harm businesses [44]. How BEACTM Helps: Feedback from tourists can be recorded immutably on the blockchain. Only users who have actually visited or transacted with a destination can submit verified reviews. Enhances trust and authenticity in feedback systems, benefiting both travelers and service providers. 4. Fragmented Systems and Lack of Interoperability Tourism systems often involve multiple disconnected platforms (e.g., booking, health screening, border control). How BEACTM Helps: Integrates multiple services on a unified blockchain infrastructure. Facilitates interoperability between different stakeholders (hotels, health agencies, immigration). Reduces redundant data entry and manual verification processes. By clearly outlining how BEACTM addresses high visitor volumes, data privacy concerns, feedback authenticity, and system fragmentation, the framework’s practical relevance to the tourism industry becomes much clearer. Highlighting these challenges enhances the clarity, credibility, and impact of your paper [45]. article amsmath amssymb The Blockchain Enabled Accurate Contact Tracing Framework Model (BEACTM) presents a robust, decentralized, and privacy- aware solution to the limitations of conventional contact tracing, particularly in the high-mobility tourism sector. Instead of focusing on step-by-step operations, BEACTM leverages the cryptographic foundations of blockchain to secure health interaction records. Each user’s identity is represented not by personally identifiable information (PII), but by a public/private key pair (Kpub, Kpriv), ensuring cryptographic authentication and non-repudiation. Test results and exposure data are digitally signed using the sender’s private key Kpriv, and verified using the corresponding public key Kpub, i.e., Signature Verification: Verify (Kpub, Message, Signature) = True This approach ensures that data cannot be tampered with and that only the legitimate owner of Kpriv could have signed the record. Moreover, by avoiding centralized data repositories, BEACTM benefits from blockchain’s decentralized architecture, which eliminates single points of failure, enhances fault tolerance, and distributes trust across the network. The system’s immutability ensures that once a transaction Ti is added to the chain, altering it would require a computationally infeasible recalculation of all subsequent hashes H(Ti+1), H(Ti+2), . . ., violating the chain’s integrity [38]. Smart contracts C embedded in the system autonomously execute functions such as exposure notifications and isolation triggers under predefined conditions, such as C(x) → y thereby reducing reliance on human intervention. Role-based access control functions A (u, d) ∈ {0, 1} ensure that only authorized users u can access sensitive data d. Furthermore, BEACTM supports compliance with regulations like the General Data Protection Regulation (GDPR) by enforcing data minimization and pseudonymization, ensuring that data is only used for its intended purpose and cannot be traced back to individuals. In summary, by combining cryptographic rigor, decentralized resilience, and regulatory compliance, BEACTM delivers a secure and scalable model for contact tracing that is well-suited to the complexities of international tourism. d. Furthermore, BEACTM supports compliance with regulations like the GDPR by enforcing data minimization and pseudonymization, ensuring that data is only used for its intended purpose and cannot be traced back to individuals. 6 Results In summary, by combining cryptographic rigor, decentralized resilience, and regulatory compliance, BEACTM delivers a secure and scalable model for contact tracing that is well-suited to the complexities of international tourism. This section presents screenshots of the various interfaces utilized in our study, including the development environment and the contact tracing application. Figure 4 illustrates the Remix IDE interface. The below Fig. 5 shows the snapshot of Metamask which is used as an extension of the browser. The below Fig. 6 displays the result of how the smart contact is traced When an individual tested positive for a contagious disease, the app notified the system administrator and used the Bluetooth ID to identify the infected person. This triggered a smart contract to access the blockchain, allowing the tracking of all individuals who had been in contact with the patient. For example, if the infected person’s Bluetooth ID was AYIDGU693842 , the system retrieved the associated contact IDs from the blockchain. These contacts were then alerted through the application, advising them to monitor their health closely and practice self-isolation, even if they showed no symptoms [38]. 7. Comparative Analysis of Tourist Arrivals in Domestic and international Tourism A. Analysis of domestic and international tourism (UN World Tourism Organization) While traditional contact tracing systems, such as centralized mobile apps or manual logging methods, have been useful during health crises like COVID-19, they suffer from several limitations. These include data privacy concerns, limited scalability, risk of data tampering, and inability to verify user-generated inputs. Table 5 Comparison of Traditional and Blockchain-Based Architectures in Tourism (Adapted from H. Treiblmaier, 2020) Aspect Traditional Architecture Blockchain-Based Architecture Intermediaries Involvement of third-party entities Direct peer-to-peer interactions Transparency Limited visibility Full transparency System Design Centralized control Decentralized network Trust Lack of inherent trust Trust is established inherently Security Lower security measures Enhanced security features Review Authenticity Presence of fake reviews Genuine, verifiable reviews The proposed BEACTM framework addresses these issues through the core features of blockchain technology: Privacy: Traditional systems often require storing sensitive user data in centralized databases, making them vulnerable to breaches. In contrast, BEACTM ensures data is encrypted, decentralized, and user-controlled, allowing individuals to share contact information pseudonymously and only when necessary. This eliminates the” surveillance” concern present in many state-operated apps. Scalability: Centralized servers in conventional systems may struggle under high user loads, especially during peak tourism seasons. BEACTM uses a peer-to-peer architecture, allowing the system to scale horizontally and handle thousands of users without performance degradation. Reliability and Transparency: Unlike traditional methods that can be manipulated (e.g., false check-ins or forged contact histories), BEACTM stores all interactions immutably on the blockchain. This ensures that contact data is tamper-proof and traceable, thereby improving the reliability of infection tracking. In a traditional system, if a tourist tests positive, the app notifies close contacts based on GPS or Bluetooth data stored on a centralized server. However, such systems can falsely identify proximity, and users might delete or manipulate their records. BEACTM, on the other hand, verifies contact points through smart contracts, automatically triggering alerts only when pre-defined, blockchain-validated criteria are met—ensuring both accuracy and trustworthiness [27]. By sharing expert knowledge and the latest developments, it enhances the depth of content in our journal. Feeling assured about our findings, I am now prepared to begin writing the paper. Table 5 above [ 5 ] highlights the differences between conventional and blockchain-driven architectures within the tourism sector. The existing architecture has several limitations, which we identified through our review of prior research, leading to the following evaluation. Figure 7 illustrates the number of tourist arrivals in India compared to the pre-pandemic year of 2020. During this period, tourist arrivals in India significantly declined, as indicated by the negative values (-100, -98, etc.) shown in the figure. However, the impact gradually reduced once Covid-19 cases were brought under control, leading to a partial recovery in tourism inflow. Similarly, Fig. 8 presents the number of tourist arrivals world- wide compared to the pre-pandemic year of 2020 [41]. This figure also highlights a sharp decline in international tourist numbers due to the outbreak of Covid-19, represented by negative values such as − 100 and other decreasing figures. The trend demonstrates the global disruption of travel and tourism as countries enforced lockdowns, travel bans, and strict health measures. These figures clearly indicate how severely the tourism indus- try was affected both in India and globally. The widespread decline underscores the vulnerability of tourism to health crises and the interconnected nature of global travel networks. Despite being one of the fastest-growing sectors before the pandemic, the sudden collapse highlighted the importance of resilience planning and sustainable tourism practices. Furthermore, the gradual improvement in the figures during the recovery phase points to the adaptability of the sector. With the introduction of vaccination drives, relaxation of restrictions, and the promotion of safe travel initiatives, tourism slowly regained momentum. This trend reflects not only the resilience of the industry but also the renewed confidence of travelers in returning to both domestic and international destinations [27]. The below Table 6 shows the estimated worldwide growth in tourist arrivals over time. The negative signs in the table values rep- resent the percentage decline in tourist arrivals compared to the pre-pandemic reference year of 2020. In tourism statistics, a negative growth rate indicates a fall in the number of visitors, reflecting the extent to which the industry was adversely affected during the Covid-19 pandemic. For instance, values such as − 97. This decline can be directly attributed to the strict measures taken worldwide to contain the spread of the virus. These included international and domestic travel restrictions, nationwide lock- downs, suspension of flights, closure of borders, and mandatory quarantine policies. As a result, mobility was drastically reduced, causing one of the steepest falls ever recorded in the tourism industry. The use of negative signs in such datasets is important, as it quantifies the magnitude of loss and provides a comparative perspective of how severely different time periods were impacted. It highlights the vulnerability of tourism to global crises and emphasizes the need for resilience-building strategies in the sector. Table 6 Estimated Worldwide Growth in Tourist Arrivals Over Time Period Jan-20 Feb-20 Apr-20 Jul-20 Oct-20 Nov-20 Dec-20 Jan-21 Apr-21 Jun-21 Aug-21 Sep-21 Jan-22 Aug-22 Growth (%) 1 -14 -97 -79 -82 -85 -89 -86 -85 -77 -63 -63 4 16 7.1 Test cases The Below Table 7 picks up the id of the infected person and then searches all the ids that came in contact with the id of the infected person and displays it. Table 7 Identifiers of Infected Individuals and Their Corresponding Contact Traces Serial No. Infected Person ID Contact Traced IDs 1 IDHUWE693842 YGYGIU657557, ADTLIR564398, ESRDTG657459, UYTOPA548894 2 BIJOUTY657999 YTADIU657557, AYRIIR564398, EIRERD657459, TUDOUR657536, ODADIU985674 Figure 9 shows a comparison chart between a traditional and blockchain-based accurate contact tracing model. Feasibility Study concept proves to be highly practical for broad adoption due to its minimal cost requirements. Since there is no need to buy any physical equipment, it remains affordable and user- friendly for the general public. Medical professionals can quickly start using it, as it only requires a simple and brief setup process to get underway [46]. 8 Conclusion The COVID-19 pandemic exposed major shortcomings in traditional contact tracing systems, particularly their reliance on large- scale personal data collection, which created privacy concerns and reduced public trust. Applications such as India’s Arogya Setu illustrated these challenges, where limited privacy protections hindered widespread acceptance despite strong government support. This study addressed these issues through the development of the BEACTM (Blockchain Enabled Accurate Contact Tracing Model), a privacy-preserving framework designed to improve both accuracy and trust in contact tracing. The results of the pro- posed model demonstrate that users only need to share minimal health data, such as heart rate, through the application to receive timely medical advice. This reduces the need for costly equipment, improves the reliability of remote consultations, and offers significant benefits for individuals with limited mobility. At the same time, blockchain integration ensures transparency, immutability, security, and traceability, establishing a trusted system for data management. Overall, BEACTM shows strong potential to enhance public health responses during pandemics by balancing effective contact tracing with privacy protection. Its scalability across sectors such as healthcare, education, transportation, and tourism underscore its adaptability as a long-term solution. By combining practical usability with blockchain-enabled trust, BEACTM provides a sustainable architecture capable of strengthening both pandemic preparedness and broader digital healthcare resilience. Real-World Applications The proposed model was designed in response to the challenges experienced during the COVID-19 pan- demic, where delays in detecting possible exposure created serious health risks and limited access to medical support left many individuals uncertain about their symptoms [35]. By enabling patients to share heart rate information through a user-friendly application, the system can provide timely medical guidance, reduce dependence on expensive diagnostic equipment, and improve the accuracy of remote consultations. It also offers considerable advantages for those with restricted mobility by ensuring private and comfortable access to healthcare services from home [34]. In practical use, this model has the potential to strengthen healthcare delivery during public health crises and beyond. The integration of blockchain technology further enhances its value by ensuring data transparency, immutability, security, and traceability [ 15 ][ 4 ], thereby fostering greater trust in digital health solutions. Future developments could involve adding features such as respiratory rate monitoring and separate systolic–diastolic blood pressure analysis to broaden its diagnostic capabilities [46]. 8.1 Future Scope The proposed BEACTM framework can be expanded beyond tourism to other high-contact sectors such as healthcare facilities, educational institutions, public events, and transportation systems, where real-time contact tracing can play a vital role in protecting vulnerable populations and managing outbreaks. Its adaptability highlights the scalability of the model as a versatile tool for broader public health applications. Future improvements may involve enhancing real-time capabilities through high-performance blockchain networks and IoT integration, enabling instant validation of exposure data. Additional diagnostic features, such as respiratory rate monitoring and sepa- rate analysis of systolic and diastolic blood pressure, could further strengthen its role in preventive healthcare. Declarations Acknowledgment I would like to express my deepest respect and gratitude to His Holiness, the Pontiff of Sri Siddagangaa Math, Jagadguru Sri Sri Sri Shivakumara Mahaswamiji. I am also sincerely thankful to my family, my mentors Prof. Dr. Parma Nand and Prof. Dr. Vikram Bali, and all those who supported me in successfully completing this research. Conflict of interest/Competing interests: 1. The authors declare that they have no financial or personal relationships that could have influenced the work reported in this paper. 2. There are no conflicts of interest associated with this manuscript. 3. 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1","display":"","copyAsset":false,"role":"figure","size":295768,"visible":true,"origin":"","legend":"\u003cp\u003eTraditional Architecture of Tourism Services\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-4496228/v1/6f23f42eef230de5f47188a6.png"},{"id":94988542,"identity":"56e21bef-f66d-4121-a726-43bf8fc8b33f","added_by":"auto","created_at":"2025-11-03 07:09:47","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":106979,"visible":true,"origin":"","legend":"\u003cp\u003eFlowchart illustrating the Accurate Contact Tracing DApp process\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-4496228/v1/d3d03cd41593f17d2404f677.png"},{"id":94988832,"identity":"5fab2679-83d8-44c1-8695-467ed80aa5d1","added_by":"auto","created_at":"2025-11-03 07:11:06","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":471442,"visible":true,"origin":"","legend":"\u003cp\u003eBlockchain Enabled Accurate Contact Tracing Model (BEACTM) for the Tourism Industry\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-4496228/v1/406b82608b8f8f45ad9f0ca9.png"},{"id":94956899,"identity":"0b663c97-ad72-44f6-bfbd-94c6afe73066","added_by":"auto","created_at":"2025-11-02 14:54:24","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":332378,"visible":true,"origin":"","legend":"\u003cp\u003eRemix IDE\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-4496228/v1/afac1519aad32b396874ed4f.png"},{"id":94956901,"identity":"c9664891-5fbf-471b-9864-71d70ad68948","added_by":"auto","created_at":"2025-11-02 14:54:24","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":222180,"visible":true,"origin":"","legend":"\u003cp\u003eMetamask wallet\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-4496228/v1/25c15fd4845f01cbc481ada8.png"},{"id":94956903,"identity":"c630c01e-820a-443f-9098-e1d520cd28f2","added_by":"auto","created_at":"2025-11-02 14:54:25","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":430468,"visible":true,"origin":"","legend":"\u003cp\u003eSmart contact traced\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-4496228/v1/4c3ca7ebe3a68253a4216b37.png"},{"id":94956922,"identity":"5babd1eb-e310-4288-8239-18588afd35e6","added_by":"auto","created_at":"2025-11-02 14:54:25","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":159822,"visible":true,"origin":"","legend":"\u003cp\u003eNo. Of tourist arrivals in India compared to pre-pandemic year of 2020\u003c/p\u003e","description":"","filename":"7.png","url":"https://assets-eu.researchsquare.com/files/rs-4496228/v1/b720e3621ff73e17b1bac300.png"},{"id":94988313,"identity":"3c69b351-b8eb-46df-9a98-0e677717cd02","added_by":"auto","created_at":"2025-11-03 07:08:34","extension":"png","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":125606,"visible":true,"origin":"","legend":"\u003cp\u003eNo. Of tourist arrivals in world compared to pre-pandemic year of 2020\u003c/p\u003e","description":"","filename":"8.png","url":"https://assets-eu.researchsquare.com/files/rs-4496228/v1/ac0f861a96f46a8b191deb60.png"},{"id":94956918,"identity":"9a632000-cc0a-44e6-b3db-3c669c0f9083","added_by":"auto","created_at":"2025-11-02 14:54:25","extension":"png","order_by":9,"title":"Figure 9","display":"","copyAsset":false,"role":"figure","size":144122,"visible":true,"origin":"","legend":"\u003cp\u003eComparison Chart (0 indicates ‘No’ 1 indicates ‘Yes’)\u003c/p\u003e","description":"","filename":"9.png","url":"https://assets-eu.researchsquare.com/files/rs-4496228/v1/3b94e413c65c85329b154513.png"},{"id":101690392,"identity":"784e949d-baba-4e3c-85be-e184e21c69ef","added_by":"auto","created_at":"2026-02-02 16:00:36","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3642623,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4496228/v1/c05b5bb2-0484-49ce-aa75-4c928abd2910.pdf"}],"financialInterests":"","formattedTitle":"Blockchain Enabled Accurate Contact Tracing Model (BEACTM) for the Future Smart Tourism Industry","fulltext":[{"header":"1 Introduction","content":"\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eContact tracing has been a cornerstone in controlling the spread of COVID-19 and its variants by identifying and managing individuals at risk of infection [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. However, existing solutions often lack decentralization, transparency, security and reliability, which are crucial in high-mobility environments such as tourism. The tourism industry presents unique challenges for contact tracing due to the rapid cross-border movement of travelers, diverse infrastructures, and the need for swift, trustworthy data sharing [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eTo address these gaps, this research proposes the Blockchain Enabled Accurate Contact Tracing Model (BEACTFM), a decentralized system that leverages blockchain\u0026rsquo;s immutability and transparency to enhance trust, accountability, and secure health data management [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. By integrating digi tal health passports, identity management, and smart contracts, BEACTFM automates exposure notifications and quarantine protocols while safeguard- ing user privacy. Unlike conventional centralized systems, it minimizes risks of data breaches and unauthorized access by relying on cryptographic security and distributed verification [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eThe model is designed to interoperate with health and travel infrastructures ensuring seamless cross-border deployment. Simulation-based evaluation highlights its effectiveness in improving accuracy, responsiveness, and trust- worthiness, making it particularly suitable for the tourism sector where speed and reliability are critical for safe and resilient travel [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e].\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cdiv id=\"Sec2\" class=\"Section2\"\u003e\u003ch2\u003e1.1 Tourism\u003c/h2\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eTourism is one of the world\u0026rsquo;s largest and most dynamic industries, compris ing multiple interrelated sectors such as transportation, accommodation, food and beverage services, travel agencies, tour operators, and a wide range of cul tural, natural, and entertainment attractions. Traditionally, the industry has operated through physical infrastructure and human-driven services, where travelers relied on face-to-face interactions, printed brochures, and central- ized booking systems to plan their journeys. This conventional model not only contributed significantly to GDP, employment generation, and foreign\u003c/p\u003e\u003cp\u003eexchange earnings but also played a vital role in cultural exchange and regional development [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e][\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eHowever, despite its economic strength, traditional tourism faces persistent challenges. The reliance on manual processes often results in limited personalization of services, slower responsiveness to changing customer needs, and difficulties in integrating real-time data [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e][\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. The global COVID-19 pandemic further exposed these vulnerabilities, revealing how unprepared the sector was to ensure traveler safety, maintain operational continuity, and implement rapid crisis management [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. The absence of robust digital tools for health moni- toring, risk assessment, and contact tracing highlighted the urgent need for innovative, technology-driven frameworks[\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e][\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. This shift has accelerated the demand for smart tourism solutions, where blockchain-enabled systems like BEACTM can enhance transparency, security, and trust while addressing the shortcomings of the conventional model [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e][\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e].\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eAreas of impact in the Tourism industry\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"3\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSource\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eAreas\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eDescription.\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e][\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eTransparency\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eThe traditional architecture that is currently in place lacks transparency.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e][\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eSettlement\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eProblems with financial transaction settlement faced by stakeholders\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eLoyalty\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eNot true ratings and reviews\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eFraud\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eWith a centralized server, the architecture is not secure.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIdentity\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eIdentity theft is a concern\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIoT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eDespite the fact that the current architecture makes use of the IoT, it is\u003c/p\u003e\u003cp\u003enot a full model.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eOverbooking\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eProblems with the traffic flow are caused by the centralized character\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePolicy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eLack of confidence in the cost and control\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eNo Reliable\u003c/p\u003e\u003cp\u003eContact Finder\u003c/p\u003e\u003cp\u003eApp\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eTo stop the COVID-19 epidemic from spreading further, a precise contact\u003c/p\u003e\u003cp\u003etracing app is urgently needed.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThe tourism industry, driven by large-scale international and domestic travel, is highly susceptible to the rapid spread of infectious diseases. Constant mobility across borders, transient social interactions, and crowded environ ments such as airports, hotels, and attractions make identifying infection chains complex and time-sensitive. Figure\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e shows the Traditional Architecture of Tourism Services. Traditional contact tracing methods, which depend heavily on manual reporting and individual recall, have proven inadequate in such dynamic contexts, resulting in delays and gaps in detection [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eTo address these challenges, technology-enabled solutions are essential. Blockchain, with its decentralized, transparent, and tamper-proof architecture, offers a promising foundation for building secure and efficient contact tracing models. By enabling real-time recording of traveler interactions while preserving privacy, blockchain-enhanced systems can significantly improve accuracy, responsiveness, and trust in pandemic management [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. Such innovations are particularly critical for the tourism sector, where restoring traveler confidence and ensuring regulatory compliance are prerequisites for sustainable recovery and safe border reopening [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eTraditional \u0026ldquo;test and trace\u0026rdquo; systems rely on iterative identification of con- tacts once an individual is diagnosed with an infectious disease. Although effective in principle, this process is burdened by administrative and logistical challenges, including delays in diagnostic testing, coordination difficulties, and secure data transfer between healthcare providers and authorities. These limitations often undermine the speed, accuracy, and privacy required for effective disease management [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eTo overcome these gaps, blockchain-enabled solutions such as BEACTM provide a decentralized and tamper-proof framework for secure data exchange, real-time monitoring, and trustworthy communication among stakeholders. By ensuring transparency, accuracy, and privacy, BEACTM strengthens con- tact tracing in complex environments like tourism, where rapid response and traveler confidence are crucial [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e][\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e].\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThe tourism industry poses unique challenges for contact tracing because of its high mobility, cross-border interactions, and transient populations. Conventional systems, which depend on centralized databases, manual reporting, and\u003c/p\u003e\u003cp\u003epersonally identifiable information (PII), are often inefficient and vulnerable to delays, data breaches, and regulatory non-compliance [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. These shortcomings not only slow down containment efforts but also reduce traveler willingness to share sensitive health data due to concerns about surveillance and misuse [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. Blockchain technology offers a transformative solution by providing a decentralized, transparent, and tamper-proof infrastructure for managing health and travel data [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. Its distributed architecture eliminates single points of failure, while cryptographic mechanisms safeguard privacy and ensure trust among stakeholders [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. By enabling secure, real-time, and privacy-preserving data exchange, blockchain can address the inherent limitations of traditional contact tracing and create the foundation for models like BEACTM, which are specifically designed to enhance safety and resilience in the tourism sector [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e].\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003e1.2 Blockchain\u003c/h2\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThe tourism industry, characterized by high mobility and cross-border movement, is highly vulnerable to the rapid spread of infectious diseases [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e][\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Traditional contact tracing systems, often centralized and dependent on manual reporting, face challenges such as delays, data inaccuracies, and pri vacy concerns. These limitations undermine traveler trust and hinder timely response, especially during large-scale health crises. To address these gaps, innovative, technology-driven frameworks are essential [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eBlockchain, a decentralized and tamper-proof distributed ledger, provides a secure infrastructure for recording and verifying transactions without reliance on a single authority [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. Its transparency and cryptographic safeguards foster trust among stakeholders while ensuring compliance with privacy regulations. In the tourism context, blockchain can record events such as check-ins, health status updates, and exposure alerts with integrity, anonymity, and accountability.\u003c/p\u003e\u003cp\u003eThrough features like smart contracts, critical processes\u0026mdash;including auto- mated exposure notifications or activation of isolation protocols\u0026mdash;can be executed without human intervention, minimizing errors and delays. Addition- ally, blockchain\u0026rsquo;s interoperability supports data sharing across borders and systems, a vital requirement for international travel [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eBy combining security, transparency, automation, and privacy preservation, blockchain [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e] offers a robust foundation for the Blockchain-Enabled Accurate Contact Tracing Model (BEACTM). This model is designed to overcome the inefficiencies of traditional methods and rebuild traveler confidence by enabling safe, resilient, and trustworthy tourism experiences [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e][25].\u003c/p\u003e\u003cp\u003eBlockchain technology holds the potential to significantly transform the travel and tourism sector. With core features such as decentralization, transparency, immutability, and programmability, it enables the creation of innovative organizational models, workflows, and collaborative structures that span across traditionally siloed entities [26].\u003c/p\u003e\u003cp\u003eIn the digital age, e-tourism heavily relies on online payments processed through various types of payment gateways. However, these gateways can\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eKey Features and Advantages of Blockchain Technology [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e][\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"2\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFeature\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eExplanation\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSecure Transactions\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eBlockchain employs various encryption techniques to ensure secure data exchanges and to minimize the likelihood of tampering or fraud.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eElimination of Intermediaries\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eThis technology reduces dependency on third parties, streamlining operations across different sectors.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eData Integrity\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eBlockchain\u0026rsquo;s structure ensures that recorded data remains unaltered once validated.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eDecentralized Framework\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eBlockchain operates without a central authority, enabling anonymous participation without requiring user identification.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eImmutability\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eAll entries in the blockchain are permanent, and every participant in the network shares the same unchangeable version of data.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eTransparency\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eParticipants can access a unified view of records, enhancing consistency and fostering mutual trust among users.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eEnhanced Trust\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eBlockchain systems improve reliability and security in digital transactions, including the distribution of payments.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eContact Tracing Application\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIntegrating blockchain with contact tracing tools can help control the spread of diseases like COVID-19, thereby supporting recovery in the tourism industry.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003ebe vulnerable to cyberattacks, including identity theft, unauthorized access to digital wallets, and fraudulent payment processing. Centralized storage of payment data\u0026mdash;often hosted on cloud servers\u0026mdash;tends to be particularly prob- lematic during peak usage times, leading to transaction failures and security breaches [27].\u003c/p\u003e\u003cp\u003eBlockchain provides a decentralized alternative that promotes trust and efficient coordination among stakeholders such as banks, travel agencies, hotel chains, airlines, cruise lines, local transportation services, and restaurants [28]. By utilizing blockchain architecture, travelers can initiate secure transac- tions through a unified digital wallet connected to a cryptocurrency platform, streamlining communication with multiple service providers [29].\u003c/p\u003e\u003cp\u003eOne of the most profound advantages of blockchain in tourism is its abil- ity to reduce reliance on intermediaries. As digital travel platforms become increasingly common, the traditional supplier\u0026ndash;customer relationship in the tourism industry is undergoing a fundamental shift [30]. Blockchain facilitates direct interaction between service providers and consumers, thereby lowering costs and enhancing efficiency. Efficient contact tracing is essential for mitigat- ing the spread of infectious diseases, particularly in high-mobility sectors like tourism, where traditional methods often struggle to keep pace with rapid pop- ulation movement. Conventional contact tracing approaches typically rely on centralized data storage and manual reporting, which raise significant privacy concerns\u0026mdash;including the risk of data breaches, unauthorized access, and misuse of personally identifiable information [31]. These vulnerabilities can undermine public trust and discourage participation, ultimately reducing the effectiveness of tracing efforts.\u003c/p\u003e\u003cp\u003eThe Blockchain Enabled Accurate Contact Tracing Model (BEACTM) addresses these limitations by introducing a decentralized, secure, and privacy-preserving contact tracing system tailored for the tourism industry [32]. Rather than detailing each operational step, BEACTM emphasizes how blockchain\u0026rsquo;s immutable ledger and cryptographic identifiers allow inter- actions to be logged securely and anonymously.\u003c/p\u003e\u003cp\u003eSmart contracts automate exposure notifications and isolation protocols, while access controls ensure that only authorized entities can view sensitive data. This model not only protects user privacy but also enhances trust, interoperability, and scalability across borders. By leveraging blockchain\u0026rsquo;s core strengths, BEACTM offers a robust and future-ready solution for safe, resilient travel during global health crises [33].\u003c/p\u003e\u003cp\u003eThis project proposes a blockchain-based hotel booking system. It adopts a semi-structured research approach to gather insights from industry experts on how blockchain could reshape intermediary roles in the tourism sector [34]. The findings indicate that blockchain is viewed as the most promising technology for removing traditional intermediaries from the booking process and prevent- ing new ones from emerging. Ultimately, this could lead to a more direct and efficient tourism ecosystem, free from unnecessary third-party intervention [35]. By associating health records with cryptographic public and private key pairs rather than directly using personally identifiable data, BEACTM upholds the principles of data minimization and pseudonymization, thereby meeting key requirements of the GDPR and strengthening compliance with regulatory frameworks [36].\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThe Blockchain-Enabled Accurate Contact Tracing Model (BEACTM) introduces an innovative approach to overcome the shortcomings of traditional contact tracing methods by offering a decentralized, secure, and privacy-focused system tailored to the needs of the tourism industry. Rather than detailing every operational process, the model emphasizes the role of blockchain\u0026rsquo;s immutable ledger and encrypted identifiers in securely record- ing interactions while preserving anonymity [37]. Diagnostic information is connected to individuals through cryptographic keys instead of personal identifiers, significantly reducing the risk of identity disclosure [38].\u003c/p\u003e\u003cp\u003eThis strategy safeguards user privacy while adhering to international data protection guidelines, including the General Data Protection Regulation (GDPR), which stresses concepts such as data minimization, informed consent, and restricted data usage [39]. Furthermore, the use of smart contracts facilitates automated alerts and quarantine measures, while strict access controls ensure that sensi- tive data is only available to authorized stakeholders. Collectively, BEACTM offers a trustworthy, privacy-preserving, and scalable framework to enable secure travel and effective health crisis management [40].\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003c/div\u003e"},{"header":"2 Literature Review","content":"\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThe tourism industry has undergone a rapid phase of digital transformation, particularly accelerated by the COVID-19 pandemic, which underscored the necessity for secure, efficient, and privacy-respecting health monitoring systems [41]. Among various emerging technologies, blockchain has gained prominence for its capacity to enhance trust, transparency, and decentralization in digital ecosystems [42]. The Blockchain-Enabled Accurate Contact Tracing Model (BEACTM) demonstrates a novel application of blockchain, aiming to resolve pressing challenges in contact tracing, privacy protection, and feedback management within the tourism domain.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eContact Tracing in Tourism\u003c/strong\u003e\u003cp\u003eTourism environments are often defined by dense populations, temporary visitors, and significant international movement, all of which make contact tracing complex [43]. Conventional methods face challenges such as fragmented data, poor interoperability, and low user confidence in centralized health authorities. Blockchain offers a decentral- ized framework where user interactions and health status records are securely stored, verified, and shared in real time, all while maintaining individual privacy [44].\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003ePrivacy and Trust Considerations\u003c/strong\u003e\u003cp\u003eData privacy remains one of the most significant barriers to the adoption of contact tracing technologies in tourism. Travelers are frequently hesitant to disclose personal details, especially across borders with differing data protection laws. Blockchain mitigates these concerns by enabling pseudonymous identities, encrypted communication, and consent-based data access. Coupled with identity and access management (IAM) systems, it ensures that only authorized stakeholders can view or process sensitive information, thereby enhancing both privacy and trust [45].\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eSmart Tourism and Authentic Feedback\u003c/strong\u003e\u003cp\u003eWithin smart tourism ecosystems, reliable data is critical not only for health safety but also for improving service delivery. BEACTM integrates blockchain-based mechanisms to authenticate traveler feedback, ensuring that only verified users contribute reviews. This approach helps eliminate fraudulent reviews, thereby supporting trustworthy decision-making for both service providers and tourists [46].\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eIntegration with Optimization Algorithms\u003c/strong\u003e\u003cp\u003eRecent studies highlight the potential of advanced metaheuristic algorithms\u0026mdash;such as the Genghis Khan Shark Optimizer, Prairie Dog Optimization, and Greater Cane Rat Algorithm\u0026mdash;for improving the efficiency of blockchain networks. These algorithms assist with tasks such as node selection, workload distribution, and smart contract optimization, which can significantly boost the performance of decentralized contact tracing systems in dynamic tourism settings [42][\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e].\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eComparative Models and Frameworks\u003c/strong\u003e\u003cp\u003eWhile several blockchain- based models for contact tracing\u0026mdash;such as BeepTrace and Decentralized Privacy-Preserving Proximity Tracing\u0026mdash;have been proposed, they generally lack tourism-specific capabilities like multilingual accessibility, feedback verification, and cross-border interoperability [45].\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eBEACTM distinguishes itself by incorporating these tourism-oriented features through a modular, adaptable framework designed for smart travel ecosystems [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e][46].\u003c/p\u003e\u003cp\u003eThe traditional tourism industry continues to face a wide range of systemic issues, including limited transparency, complicated settlement processes, weak loyalty mechanisms, fraud, identity verification challenges, integration difficulties with IoT systems, overbooking, inconsistent policy enforcement, and the absence of reliable contact tracing platforms [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e], [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Numerous aca- demic studies have emphasized these shortcomings, providing the foundation for decentralized solutions such as BEACTM. For example, India\u0026rsquo;s Arogya Setu application was developed to aid in COVID-19 contact tracing, but it faced widespread criticism for privacy, data security, and functional inefficiencies. The app collected sensitive data such as reported symptoms, contact history, demographic information, and interaction details with COVID-19- positive individuals. These practices created concerns among tourists, leading to reluctance in adopting the system due to privacy risks [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e][46].\u003c/p\u003e\u003cp\u003eBefore the pandemic, tourism was steadily growing and contributing significantly to economic development worldwide. However, COVID-19 caused a dramatic reduction in international arrivals, with declines persisting through- out the crisis.\u003c/p\u003e\u003cp\u003eTo gain deeper insight into these challenges, an extensive literature review was undertaken, identifying critical weaknesses in the conventional tourism model. The findings are presented in Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, which details the pandemic\u0026rsquo;s impact on various segments of the industry. Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e explores new communication opportunities emerging in the context of smart tourism [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e], while Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e highlights coordination challenges in implementing innovative contact tracing technologies during the COVID-19 era [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e].\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eEmerging Technologies and Their Potential Role in COVID-19 Contact Tracing for the Evolving Smart Tourism Ecosystem\u003c/p\u003e \u003cdiv class=\"Credit\"\u003e\u003cp\u003e(Adapted from Mbunge, 2020)\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"2\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eInnovative Technologies\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePotential Applications in COVID-19 Contact Tracing\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eArtificial Intelligence (AI)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIreland has proposed using AI for a new monitoring system that tracks body\u003c/p\u003e\u003cp\u003etemperatures of individuals at risk. The system integrates with smartphones, smartwatches, and digital thermometers to give real-time temperature data.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eInternet of Things (IoT)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eAllows continuous access to COVID-19 contact data. Enables remote monitoring of isolated patients, serving as an effective form of self-isolation.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eGeographic Information Systems (GIS)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eTracks infected individuals and their contacts in real time. Provides insight into the local impact of the outbreak on community health.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eBig Data Analytics\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eSupports health data systems like HIS for continuous record-keeping and research. Aids in targeted screening, better resource allocation, and planning. Facilitates effective communication through video conferencing.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eBlockchain Technology\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eProvides secure management of patient data for treatment coordination in private facilities. Standard protocols ensure safe transfer of medical and financial data between centers.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e5G Networks\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eEnhances data transfer speed and connectivity. Enables real-time telehealth\u003c/p\u003e\u003cp\u003econsultations between COVID-19 patients, their contacts, and medical teams.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThe literature highlights the significant potential of blockchain in reshaping the tourism industry through privacy-preserving, accurate, and decentralized contact tracing. BEACTM stands out by integrating contact tracing with secure identity management, traveler feedback authentication, and AI-driven\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eCoordination Challenges Associated with Emerging Technologies in Post-COVID-19 Contact Management\u003c/p\u003e \u003cdiv class=\"Credit\"\u003e\u003cp\u003e(Adapted from Mbunge, 2020; Xu et al., 2020)\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"3\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSource\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eChallenge\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eDetails\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eAsymptomatic Transmission\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eIndividuals with no visible symptoms can still spread COVID-19, making detection and containment more complex. Traditional contact tracing may fall short without comprehensive clinical testing.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eTechnical Infrastructure Gaps\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eSome contact tracing tools, such as Blue Trace, require advanced technical skills to deploy and manage. Many regions face a shortage of trained personnel to operate these systems effectively.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e][\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eLack of Data Sharing Protocols\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eEmerging tech adoption in healthcare remains limited in many countries. There are no unified standards for secure information exchange, hindering effective response strategies.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eSocioeconomic Barriers\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eAccess to the internet and digital tools required for contact tracing is costly in some regions. Reduced-cost access could improve inclusion.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eDeactivated GPS/Wi-Fi\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eContact tracing relies on Bluetooth, GPS, and Wi-Fi, which users can disable, limiting tracking efficiency. Environmental factors and spoofing attacks further complicate monitoring.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eInteroperability and Standardization Issues\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eEach country\u0026rsquo;s contact tracing system follows a unique data structure, complicating global data integration and seamless collaboration.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e][\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eSecurity Threats\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003ePersonal data in tracing apps is at risk of unauthorized access or loss. Adequate safeguards are essential for ethical and secure data use.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e][\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePrivacy Infringement\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eSeveral tracing applications collect sensitive personal data, including health status, location, and travel history, raising concerns about user privacy and consent.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePolitical and Institutional Limitations\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eAdoption of digital health interventions is often hindered by weak political commitment and limited funding, affecting technology deployment and sustainability.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eEthical and Legal Concerns\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eSome contact tracing apps compromise user rights and ethical standards by offering little protection to infected individuals or collecting data beyond necessary limits.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eSymptom Monitoring Tools\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eDigital thermometers and mobile apps are used for health surveillance, helping detect symptoms like fever in public spaces effectively.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eConsent and Opt-Out Mechanisms\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eNot all apps allow users to revoke consent or control data sharing. Language barriers and unclear interfaces also reduce voluntary participation.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eMisuse of Tracing Technologies\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eWithout proper safeguards, malicious users can exploit GPS and Bluetooth-based apps. Biometric verification can help verify legitimacy of data.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eDiscrimination Risks\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eMisuse or misinterpretation of tracing data could lead to biased resource allocation or stigmatization of affected individuals.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e[\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eDigital Divide\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eLimited ICT access in some regions creates barriers to digital contact tracing.\u003c/p\u003e\u003cp\u003eDespite advances, digital exclusion still persists, particularly in developing nations.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eoptimization, addressing the unique needs of the future smart tourism indus- try. Future research should further validate this framework through real-world pilot projects, interoperability testing, and regulatory alignment [43][45].\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e"},{"header":"3 Proposed System","content":"\u003cp\u003eThe COVID-19 pandemic highlighted the urgent need for secure, accurate, and privacy-preserving contact tracing, particularly in high-mobility sectors such as tourism where conventional methods often fail [42]. To address these challenges the Blockchain-Enabled Accurate Contact Tracing Model (BEACTM) leverages blockchain’s decentralized and tamper-resistant architecture to pro- vide a reliable framework for health risk management.\u003c/p\u003e\n\u003cp\u003eIn\u0026nbsp;BEACTM,\u0026nbsp;user\u0026nbsp;interactions\u0026nbsp;are\u0026nbsp;logged\u0026nbsp;on\u0026nbsp;a\u0026nbsp;blockchain\u0026nbsp;using anonymized cryptographic identifiers instead of personal data. Once an infection is confirmed, potential contacts can be rapidly identified and notified without exposing sensitive information. Smart contracts automate alerts and isolation protocols, while Identity and Access Management (IAM) ensures only authorized entities can access health-related records. This design enhances transparency, eliminates dependence on centralized servers, and supports cross-border interoperability, which is vital for tourism [43].\u003c/p\u003e\n\u003cp\u003eThe system is built on blockchain features such as immutability, account- ability, and transparency, where all records are digitally signed and verifiable by\u0026nbsp;stakeholders\u0026nbsp;[45].\u0026nbsp;To\u0026nbsp;further\u0026nbsp;strengthen\u0026nbsp;privacy,\u0026nbsp;cryptographic\u0026nbsp;key\u0026nbsp;management\u0026nbsp;allows\u0026nbsp;users\u0026nbsp;to\u0026nbsp;control\u0026nbsp;access\u0026nbsp;to\u0026nbsp;their\u0026nbsp;data,\u0026nbsp;and\u0026nbsp;encrypted\u0026nbsp;storage\u0026nbsp;ensures compliance with GDPR and WHO guidelines on data retention. Even beyond the tracing period, information remains unreadable, preserving confidentiality [42].\u003c/p\u003e\n\u003cp\u003eCompared with other solutions, BEACTM offers enhanced privacy, efficiency and\u0026nbsp;scalability,\u0026nbsp;while\u0026nbsp;remaining\u0026nbsp;feasible\u0026nbsp;on\u0026nbsp;both\u0026nbsp;mobile\u0026nbsp;and server infrastructures. By integrating contact tracing with privacy safeguards and authentic communication channels, BEACTM represents a forward-looking solution that balances functionality and trust, enabling safer tourism opera- tions during pandemics and beyond [46].\u003c/p\u003e\n\u003ch2\u003e3.1\u0026nbsp; \u0026nbsp;Design of BEACTM (Blockchain-Enabled Accurate Contact Tracing Model)\u003c/h2\u003e\n\u003cp\u003eThe BEACTM architecture is designed as a modular blockchain-based frame- work\u0026nbsp;that\u0026nbsp;ensures\u0026nbsp;secure,\u0026nbsp;decentralized,\u0026nbsp;and\u0026nbsp;privacy-preserving\u0026nbsp;contact\u0026nbsp;tracing in the tourism industry. Its design consists of the following core components:\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eA.\u0026nbsp; \u0026nbsp; User\u0026nbsp;Registration Key Generation\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEach tourist is assigned a unique cryptographic key pair (public/private) instead of personally identifiable information.\u003c/p\u003e\n\u003cp\u003eThis\u0026nbsp;ensures\u0026nbsp;pseudonymization\u0026nbsp;and\u0026nbsp;compliance\u0026nbsp;with GDPR.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eB.\u0026nbsp; \u0026nbsp; Data\u0026nbsp;Collection Interaction Logging\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWhen tourists interact (e.g., visit a site, hotel, or event), their devices generate an encrypted identifier.\u003c/p\u003e\n\u003cp\u003eThese\u0026nbsp;identifiers\u0026nbsp;are\u0026nbsp;logged\u0026nbsp;on\u0026nbsp;the\u0026nbsp;blockchain\u0026nbsp;as\u0026nbsp;immutable,\u0026nbsp;time-stamped transactions.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eC.\u0026nbsp; \u0026nbsp; Diagnostic\u0026nbsp;Data\u0026nbsp;Linking\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn case of a positive health diagnosis, the record is linked to the user’s cryptographic key rather than personal details.\u003c/p\u003e\n\u003cp\u003eThis\u0026nbsp;prevents\u0026nbsp;direct\u0026nbsp;identity disclosure.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eD.\u0026nbsp; \u0026nbsp; Smart\u0026nbsp;Contract Execution\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSmart contracts automatically trigger alerts to individuals who have been\u0026nbsp;in close contact with infected persons.\u003c/p\u003e\n\u003cp\u003eThey also enforce isolation/quarantine protocols and manage access per- missions.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eE.\u0026nbsp; \u0026nbsp; Privacy\u0026nbsp;\u0026amp;\u0026nbsp;Access Management\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eOnly authorized entities (like health authorities) can access sensitive information through Identity and Access Management (IAM).\u003c/p\u003e\n\u003cp\u003eTourists\u0026nbsp;remain\u0026nbsp;anonymous\u0026nbsp;to\u0026nbsp;unauthorized\u0026nbsp;third parties.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eF. Feedback Authentication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBlockchain also supports authentic feedback submission from verified travelers, preventing fake reviews and ensuring reliable data for tourism services.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eG.\u0026nbsp; \u0026nbsp; Optimization\u0026nbsp;Layer\u0026nbsp;(Future\u0026nbsp;Enhancement)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMetaheuristic\u0026nbsp;algorithms\u0026nbsp;(e.g.,\u0026nbsp;Genghis\u0026nbsp;Khan\u0026nbsp;Shark\u0026nbsp;Optimizer,\u0026nbsp;Prairie Dog Optimization) can optimize node selection, load balancing, and smart con- tract\u0026nbsp;efficiency\u0026nbsp;for\u0026nbsp;large-scale\u0026nbsp;tourism\u0026nbsp;environments.\u0026nbsp;Brief\u0026nbsp;Program\u0026nbsp;Illustration (Python – Simplified Prototype)\u003c/p\u003e\n\u003cp\u003eHere’s a simple pseudocode/implementation snippet to show how\u0026nbsp;BEACTM\u0026nbsp;can\u0026nbsp;log\u0026nbsp;interactions\u0026nbsp;and\u0026nbsp;trigger\u0026nbsp;alerts:\u0026nbsp;import\u0026nbsp;hashlib\u0026nbsp;import time.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunction to create a pseudonymous user ID using cryptographic hash\u003c/strong\u003e def generate\u003cem\u003e\u003csub\u003eu\u003c/sub\u003eser\u003csub\u003ei\u003c/sub\u003ed\u003c/em\u003e(\u003cem\u003epublic\u003csub\u003ek\u003c/sub\u003eey\u003c/em\u003e):\u0026nbsp;\u003cem\u003ereturnhashlib. sha\u003c/em\u003e256(\u003cem\u003epublic\u003csub\u003ek\u003c/sub\u003eey. encode\u003c/em\u003e ())\u003cem\u003e. hexdigest\u003c/em\u003e ()\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eBlockchain\u0026nbsp;ledger\u0026nbsp;(simplified\u0026nbsp;as\u0026nbsp;a\u0026nbsp;list)\u0026nbsp;blockchain\u003c/strong\u003e\u003cstrong\u003e=\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e[]\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003edef\u0026nbsp;log\u003cem\u003e\u003csub\u003ei\u003c/sub\u003enteraction\u003c/em\u003e (\u003cem\u003euser\u003c/em\u003e1\u003cem\u003e,\u0026nbsp;user\u003c/em\u003e2):\u003c/p\u003e\n\u003cp\u003erecord\u0026nbsp;= ” timestamp”:\u0026nbsp;time. Time (),” user1”:\u0026nbsp;user1,” user2”:\u0026nbsp;user2,” interactionid”: \u003cem\u003ehashlib. sha\u003c/em\u003e256(\u003cem\u003ef” user1user2time.time\u003c/em\u003e()”\u003cem\u003e. encode\u003c/em\u003e ())\u003cem\u003e. hexdigest\u003c/em\u003e ()\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;blockchain. append(record)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSmart contract simulation: notify if user tests positive def\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003etrigger\u003c/strong\u003e\u003cem\u003ealert\u003c/em\u003e (\u003cem\u003einfecteduser\u003c/em\u003e): \u003cem\u003eforrecordinblockchain:\u003c/em\u003e \u003cem\u003eifrecord\u003c/em\u003e[”\u003cem\u003euser\u003c/em\u003e1”] ==\u0026nbsp;\u003cem\u003einfected\u003csub\u003eu\u003c/sub\u003eserorrecord\u003c/em\u003e[”\u003cem\u003euser\u003c/em\u003e2”] == \u003cem\u003einfected\u003csub\u003eu\u003c/sub\u003eser:\u003c/em\u003e \u003cem\u003eprint\u003c/em\u003e (\u003cem\u003ef” ALERT:\u003c/em\u003e \u003cem\u003eUserincontactwithinfected\u003csub\u003eu\u003c/sub\u003eserattime.ctime\u003c/em\u003e(\u003cem\u003erecord\u003c/em\u003e[\u003cem\u003e\u003csup\u003e′\u003c/sup\u003e\u003c/em\u003e\u003cem\u003etimestamp\u003c/em\u003e\u003cem\u003e\u003csup\u003e′\u003c/sup\u003e\u003c/em\u003e])”)\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eExample\u0026nbsp;simulation\u0026nbsp;userA\u0026nbsp;=\u0026nbsp;generate\u003c/strong\u003e\u003cem\u003e\u003csub\u003eu\u003c/sub\u003e\u003c/em\u003e\u003cem\u003eser\u003csub\u003ei\u003c/sub\u003ed\u003c/em\u003e (”\u003cem\u003e\u0026nbsp;PublicKeyA\u003c/em\u003e”)\u003cem\u003e\u0026nbsp;userB\u0026nbsp;\u003c/em\u003e=\u003c/p\u003e\n\u003cp\u003e\u003cem\u003egenerate\u003csub\u003eu\u003c/sub\u003eser\u003csub\u003ei\u003c/sub\u003ed\u003c/em\u003e(”\u003cem\u003e\u0026nbsp;PublicKeyB\u003c/em\u003e”)\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003elog\u003c/strong\u003e\u003cem\u003e\u003csub\u003ei\u003c/sub\u003e\u003c/em\u003e\u003cem\u003enteraction\u003c/em\u003e (\u003cem\u003euserA,\u0026nbsp;userB\u003c/em\u003e)\u003cem\u003e\u0026nbsp;Loginteractiontriggeralert\u003c/em\u003e(\u003cem\u003euserA\u003c/em\u003e)\u003cem\u003eUserA\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ediagnosed\u0026nbsp;\u003c/em\u003e\u003cem\u003ealert\u0026nbsp;\u003c/em\u003e\u003cstrong\u003eExplanation of Program:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003egenerate\u003c/strong\u003e\u003cem\u003e\u003csub\u003eu\u003c/sub\u003e\u003c/em\u003e\u003cem\u003eser\u003csub\u003ei\u003c/sub\u003ed\u003c/em\u003eß\u003cem\u003ecreatespseudonymousIDsfrompublickeys.\u003c/em\u003e\u003cstrong\u003elog\u003c/strong\u003e\u003cem\u003e\u003csub\u003ei\u003c/sub\u003e\u003c/em\u003e\u003cem\u003enteraction\u003c/em\u003eß\u003cem\u003erecordsencountersonasimulatedblockchainledger.\u0026nbsp;\u003c/em\u003e\u003cstrong\u003etrigger\u003c/strong\u003e\u003cbr\u003e\u003cem\u003e\u003csub\u003ea\u003c/sub\u003elert\u003c/em\u003eß\u003cem\u003eactslikeasmartcontracttonotifycontactswhensomeoneisdiagnosed.\u003c/em\u003e\u003c/p\u003e"},{"header":"4 Tools and Methodologies","content":"\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eIn this research, the Blockchain-Enabled Accurate Contact Tracing Model (BEACTM) was implemented using Ethereum, Ganache, Node.js, MetaMask, and the Truffle framework. Each tool plays a specific role in the development and testing of decentralized applications (DApps). The methodology is presented step by step below [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e].\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eEthereum\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eStep 1\u003c/strong\u003e\u003cp\u003eEthereum Platform Why Ethereum?\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eEthereum is an open-source blockchain designed for smart contracts and DApp development.\u003c/p\u003e\u003cp\u003eIt uses the Solidity programming language, which is widely adopted and relatively easy to learn [35][45].\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eRole in BEACTM\u003c/b\u003e:\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eActs as the blockchain backbone for storing anonymized contact tracing records.\u003c/p\u003e\u003cp\u003eProvides smart contract functionality to automate alerts, isolation instructions, and access control policies.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eStep 2\u003c/b\u003e: Setting up Ganache (Private Blockchain) Purpose of Ganache: Creates a local private Ethereum blockchain for testing and development.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eAllows developers to deploy and test smart contracts before going live [45].\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eSteps to Use Ganache\u003c/b\u003e:\u003c/p\u003e\u003cp\u003eInstall Ganache UI (desktop) or Ganache-CLI (command line).\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eLaunch Ganache to create a local blockchain with predefined accounts and test Ether.\u003c/p\u003e\u003cp\u003eConnect this private blockchain to your DApp for secure experimentation without spending real Ether.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eRole in BEACTM\u003c/b\u003e:\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eProvides a controlled environment for testing smart contracts that record and verify contact-tracing interactions.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eStep 3\u003c/strong\u003e\u003cp\u003eNode.js and NPM (Runtime Environment) Why Node.js?\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eNode.js provides the runtime environment for executing JavaScript-based blockchain applications.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eNPM (Node Package Manager) is required to install\u003c/p\u003e\u003cp\u003eEthereum development tools.\u003c/p\u003e\u003cp\u003e\u003cb\u003eSteps to Use Node.js\u003c/b\u003e:\u003c/p\u003e\u003cp\u003e\u003col\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eInstall Node.js and verify installation with the command: node\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003c/ol\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003e-v npm -v 2. Use NPM to install required libraries (e.g., Web3.js, Truffle).\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eRole in BEACTM\u003c/b\u003e:\u003c/p\u003e\u003cp\u003eSupports the backend logic of the application.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eEnables interaction between the smart contracts deployed on Ethereum and the user interface of the DApp.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eStep 4\u003c/strong\u003e\u003cp\u003eMetaMask (Ethereum Wallet) Purpose\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eBrowser-based wallet that allows users to interact with Ethereum networks securely.\u003c/p\u003e\u003cp\u003eManages keys, sends transactions, and stores Ether/ERC-20 tokens [28].\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eSteps to Use MetaMask\u003c/b\u003e:\u003c/p\u003e\u003cp\u003eInstall MetaMask as a browser extension or mobile app.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eConnect MetaMask to the Ganache local blockchain or Ethereum test nets.\u003c/p\u003e\u003cp\u003eUse MetaMask to sign and authorize transactions. \u003cb\u003eRole in BEACTM\u003c/b\u003e:\u003c/p\u003e\u003cp\u003eProvides user authentication and secure interaction with the contact-tracing application.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eStep 5\u003c/strong\u003e\u003cp\u003eTruffle Framework (Smart Contract Development) Purpose\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eComprehensive development framework for Ethereum smart contracts.\u003c/p\u003e\u003cp\u003eOffers tools for compiling, testing, and deploying Solidity contracts.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eSteps to Use Truffle\u003c/b\u003e:\u003c/p\u003e\u003cp\u003eInstall Truffle globally:\u003c/p\u003e\u003cp\u003enpm install -g truffle\u003c/p\u003e\u003cp\u003eInitialize a Truffle project using truffle init.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eWrite smart contracts in Solidity, compile, and deploy them on the Ganache blockchain.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eRole in BEACTM\u003c/b\u003e:\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eManages deployment and testing of contact-tracing smart con- tracts.\u003c/p\u003e\u003cp\u003eEnsures automation of exposure alerts, privacy policies, and data management.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eStep 6\u003c/strong\u003e\u003cp\u003eWorkflow of BEACTM Application\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eUser Registration \u0026ndash; Tourists register on the DApp using Meta- Mask for identity verification.\u003c/p\u003e\u003cp\u003eData Logging \u0026ndash; Interactions are logged on the Ethereum blockchain via Ganache.\u003c/p\u003e\u003cp\u003eSmart Contract Execution \u0026ndash; Exposure alerts and quarantine protocols are triggered automatically.\u003c/p\u003e\u003cp\u003eAccess Control (IAM) \u0026ndash; Only authorized health officials can decrypt sensitive data.\u003c/p\u003e\u003cp\u003eTesting and Validation \u0026ndash; Entire framework tested locally using Ganache\u0026thinsp;+\u0026thinsp;Truffle before deployment. Figure\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e below illustrates the workflow of our proposed system designed to trace COVID-19 infections and prevent further transmission. The above steps demonstrate how this precise contact tracing application operates to help control the spread of infectious diseases [25].\u003c/p\u003e\u003cp\u003eThe Blockchain-Enabled Accurate Contact Tracing Model, depicted in Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e, is particularly vital for the tourism sector dur- ing the ongoing pandemic. The tourism industry holds significant economic importance for many countries, including India, which is renowned as a favored travel destination due to its stunning landscapes and rich cultural diversity. To strengthen the design and validity of a blockchain-based accurate contact tracing system, incorporating recent and relevant academic sources on metaheuristic optimization algorithms can provide deeper technical context and improve system performance [42]. Algorithms such as the Genghis Khan Shark Optimizer, Geyser Inspired Algorithm, Prairie Dog Optimization, and Gazelle Optimization Algorithm offer innovative approaches to solving complex challenges like secure data routing, node placement, and privacy-accuracy trade-offs. These bio-inspired and nature-based algorithms can be effectively applied to optimize network latency, enhance smart contract efficiency, and detect outbreak clusters within decentralized contact tracing systems.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eBy integrating such cutting-edge optimization strategies, the system\u0026rsquo;s scalability, responsiveness, and privacy-preserving capabilities can be significantly improved. A focused review of recent literature and application of these algorithms to specific system components such as consensus mechanisms, data propagation, and smart contract execution would not only enrich the academic rigor of the paper but also position the system at the forefront of current research trends [43].\u003c/p\u003e\u003cp\u003eTourism and hospitality form one of India\u0026rsquo;s primary service sectors. According to the Global Travel and Tourism Council, this sector contributed approximately USD 240\u0026nbsp;billion in 2018, accounting for about 9.2.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eFor instance, Bird Group, which operates Roseate Hotels \u0026amp; Resorts, had to close several public areas to reduce costs due to occupancy rates dropping to around [40\u0026ndash;45].\u003c/p\u003e\u003cp\u003eAlthough recovery will be challenging for India\u0026rsquo;s tourism and hospitality sectors, a collaborative effort from all stakeholders can help restore business and attract customers. Ensuring consumer safety is key to rebuilding trust, which is essential for the survival and growth of any business. Technology offers powerful solutions to support this recovery, including mobile apps, video conferencing, mobile room keys, self-service kiosks, online shopping, and virtual tours\u0026mdash;tools that enable social distancing and contactless interactions, critical measures to curb the virus\u0026rsquo;s spread [42].\u003c/p\u003e\u003cp\u003eThe post-COVID-19 world will be different, but leveraging tech- nology to uphold strict hygiene and safety standards can reassure travelers and stimulate the revival of India\u0026rsquo;s struggling tourism and hospitality sectors. To address these challenges, we developed the Blockchain-Based Accurate Contact Tracing Framework Model (BEACTM) specifically aimed at supporting the Indian tourism industry. By fostering a sense of safety, security, and trust, our sys- tem has the potential to effectively encourage tourists to visit India once again [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e].\u003c/p\u003e\u003cp\u003e1.Performance and Security Metrics in BEACTM To validate the effectiveness of the BEACTM system, including specific performance and security metrics strengthens its credibility. These metrics demonstrate how BEACTM improves upon traditional contact tracing systems:\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003ea.\u0026nbsp; \u0026nbsp;\u003c/strong\u003eData Security and Breach Resistance Metric: Risk of data breaches is significantly reduced due to blockchain\u0026rsquo;s decentralized ledger and encryption protocols.\u003c/p\u003e\n\u003cp\u003eExplanation:\u0026nbsp;In\u0026nbsp;centralized\u0026nbsp;systems,\u0026nbsp;a\u0026nbsp;single\u0026nbsp;compromised\u0026nbsp;server can expose millions of users\u0026rsquo; data. BEACTM stores sensitive con- tact and health data across distributed nodes, making it virtually impossible to hack the system without controlling a majority of nodes.\u003c/p\u003e\n\u003cp\u003eExample Metric: According to simulation studies, blockchain networks reduce single-point failure risks by up to 95\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eb.\u0026nbsp;\u0026nbsp;\u003c/strong\u003eTamper-Proof Data and Traceability Metric: 100 Explanation: This ensures accurate and auditable records for\u003c/p\u003e\n\u003cp\u003econtact\u0026nbsp;tracing,\u0026nbsp;preventing\u0026nbsp;data\u0026nbsp;manipulation\u0026nbsp;or\u0026nbsp;false reporting.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ec.\u0026nbsp;\u0026nbsp;\u003c/strong\u003eReal-Time Processing and Alert Generation Metric: BEACTM can process and validate contact tracing events in less than 2 seconds, depending on the blockchain architecture (e.g., using high-throughput blockchains like Hyperledger Fabric or Polygon).\u003c/p\u003e\n\u003cp\u003eSmart contracts can automatically trigger exposure alerts when certain\u0026nbsp;conditions\u0026nbsp;are\u0026nbsp;met,\u0026nbsp;speeding\u0026nbsp;up\u0026nbsp;notification\u0026nbsp;times.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ed.\u0026nbsp; \u0026nbsp;\u003c/strong\u003eUser Privacy Metric: Zero-knowledge proofs (ZKPs) and pseudonymization techniques can reduce the exposure of identifiable user data to 0\u003c/p\u003e\n\u003cp\u003eBEACTM allows contact tracing without revealing personal identity, complying with privacy regulations like GDPR.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.\u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/strong\u003ePotential Limitations of BEACTM Despite its strengths, BEACTM also faces technical, organizational, and adoption-related\u0026nbsp;challenges that should be acknowledged:\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ea.\u0026nbsp; \u0026nbsp;\u003c/strong\u003eIntegration with Existing Health Infrastructure Challenge: Most healthcare systems use legacy databases and centralized platforms that are not natively compatible with blockchain.\u003c/p\u003e\n\u003cp\u003eImplication: Integration requires middleware, APIs, or custom connectors, which can increase complexity, cost, and implementation time.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eb.\u0026nbsp;\u0026nbsp;\u003c/strong\u003eComputational and Energy Demands Challenge: Blockchain systems, especially public or permissionless ones, often require significant processing power and storage.\u003c/p\u003e\n\u003cp\u003eImplication: Devices with limited resources (e.g., mobile phones, IoT sensors at tourist sites) may struggle to interact with the blockchain\u0026nbsp;without\u0026nbsp;light\u0026nbsp;clients\u0026nbsp;or\u0026nbsp;off-chain\u0026nbsp;computation\u0026nbsp;solutions.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cbr\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ec.\u0026nbsp;\u0026nbsp;\u003c/strong\u003eScalability Under High Tourist Volume Challenge: In peak sea- sons, tourist areas may generate massive volumes of contact events, potentially overloading the system.\u003c/p\u003e\n\u003cp\u003eSolution Consideration: Layer-2 scaling solutions (e.g., rollups)\u0026nbsp;or permissioned blockchains may be needed to ensure consistent performance.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ed.\u0026nbsp; \u0026nbsp;\u003c/strong\u003eRegulatory and Cross-Border Challenges Challenge: Data sovereignty laws differ across countries, especially when tracking international tourists.\u003c/p\u003e\n\u003cp\u003eImplication: Legal and regulatory harmonization is necessary to implement BEACTM in a global tourism context.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ee.\u0026nbsp;\u0026nbsp;\u003c/strong\u003eUser Adoption and Digital Literacy Challenge: Tourists from varying backgrounds may lack the digital literacy or willingness to use a blockchain-based app. Solution is User-friendly interfaces and strong privacy assurances are critical to improving trust and adoption.\u003c/p\u003e\n\u003cp\u003eIncluding quantifiable security and performance metrics such as reduced breach risks, real-time processing speed, and data immutability highlights BEACTM\u0026rsquo;s effectiveness. However, address- ing its integration challenges, computational costs, and adoption barriers ensures a balanced perspective and prepares stakeholders for practical implementation. Acknowledging both the strengths and constraints of BEACTM strengthens your research and increases its applicability in the smart tourism domain [23][46].\u003c/p\u003e"},{"header":"5 Implementation of BEACTM (Blockchain Enabled Accurate Contact Tracing Model for Tourism Industry)","content":"\u003cp\u003eThe proposed BEACTM framework\u0026mdash;a Blockchain-Enabled Accurate\u0026nbsp;Contact\u0026nbsp;Tracing\u0026nbsp;and\u0026nbsp;Feedback\u0026nbsp;Management\u0026nbsp;system offers\u0026nbsp;a timely\u0026nbsp;and\u0026nbsp;innovative\u0026nbsp;solution\u0026nbsp;for\u0026nbsp;the\u0026nbsp;tourism\u0026nbsp;industry,\u0026nbsp;especially in the post-pandemic context. To improve clarity and strengthen its\u0026nbsp;relevance,\u0026nbsp;it\u0026nbsp;is\u0026nbsp;important\u0026nbsp;to\u0026nbsp;highlight\u0026nbsp;the\u0026nbsp;specific\u0026nbsp;challenges\u0026nbsp;in tourism that BEACTM aims to address [43].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e1.\u0026nbsp;\u0026nbsp;\u003c/strong\u003eManaging High Visitor Volumes Tourism destinations often experience large crowds, especially at peak times or during festivals. This poses several issues: Increased risk of disease transmission in confined or highly trafficked areas.\u003c/p\u003e\n\u003cp\u003eDifficulty\u0026nbsp;in\u0026nbsp;tracing\u0026nbsp;interactions\u0026nbsp;between\u0026nbsp;tourists,\u0026nbsp;especially\u0026nbsp;when visitors are from diverse geographic regions. Inefficient visitor management systems that lack real-time monitoring.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow\u0026nbsp;BEACTM Helps:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cbr\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe blockchain-based contact tracing component enables real- time, tamper-proof recording of tourist interactions while ensuring privacy.\u003c/p\u003e\n\u003cp\u003eSmart contracts can automate alerts when infection risks are detected based on location or time overlaps.\u003c/p\u003e\n\u003cp\u003eScalable architecture supports high volumes of users without compromising performance.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.\u0026nbsp;\u0026nbsp;\u003c/strong\u003eProtecting International Travelers\u0026rsquo; Data International tourists are typically required to share sensitive personal information, including health status, travel history, and identity documents. Key concerns include:\u003c/p\u003e\n\u003cp\u003eRisk\u0026nbsp;of\u0026nbsp;data\u0026nbsp;breaches\u0026nbsp;or\u0026nbsp;unauthorized access.\u003c/p\u003e\n\u003cp\u003eLack\u0026nbsp;of\u0026nbsp;standardized\u0026nbsp;data\u0026nbsp;sharing\u0026nbsp;protocols\u0026nbsp;across countries.\u003c/p\u003e\n\u003cp\u003eDistrust in centralized systems, especially in countries with poor data governance.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow\u0026nbsp;BEACTM Helps:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eUses blockchain\u0026rsquo;s decentralized ledger to securely store and share encrypted data.\u003c/p\u003e\n\u003cp\u003eEnsures that only authorized stakeholders (e.g., health authorities, tourism operators) can access specific information via identity and access management (IAM).\u003c/p\u003e\n\u003cp\u003eMaintains anonymity and transparency, fostering greater trust among travelers.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.\u0026nbsp;\u003c/strong\u003eAuthenticating Feedback and Preventing Review Manipulation Another major issue in tourism is the presence of fake or biased reviews on platforms like TripAdvisor or Google Reviews, which mislead customers and harm businesses [44].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow\u0026nbsp;BEACTM Helps:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFeedback\u0026nbsp;from\u0026nbsp;tourists\u0026nbsp;can\u0026nbsp;be\u0026nbsp;recorded\u0026nbsp;immutably\u0026nbsp;on\u0026nbsp;the blockchain.\u003c/p\u003e\n\u003cp\u003eOnly\u0026nbsp;users\u0026nbsp;who\u0026nbsp;have\u0026nbsp;actually\u0026nbsp;visited\u0026nbsp;or\u0026nbsp;transacted\u0026nbsp;with\u0026nbsp;a\u0026nbsp;destination can submit verified reviews.\u003c/p\u003e\n\u003cp\u003eEnhances trust and authenticity in feedback systems, benefiting both travelers and service providers.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e4.\u0026nbsp;\u003c/strong\u003eFragmented Systems and Lack of Interoperability Tourism systems often involve multiple disconnected platforms (e.g., booking, health screening, border control).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eHow\u0026nbsp;BEACTM Helps:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIntegrates\u0026nbsp;multiple\u0026nbsp;services\u0026nbsp;on\u0026nbsp;a\u0026nbsp;unified\u0026nbsp;blockchain\u0026nbsp;infrastructure.\u003c/p\u003e\n\u003cp\u003eFacilitates interoperability between different stakeholders (hotels, health agencies, immigration).\u003c/p\u003e\n\u003cp\u003eReduces redundant data entry and manual verification processes. By clearly outlining how BEACTM addresses high visitor volumes, data privacy concerns, feedback authenticity, and system fragmentation, the framework\u0026rsquo;s practical relevance to the tourism industry becomes much clearer. Highlighting these challenges enhances the clarity, credibility, and impact of your paper [45]. article amsmath amssymb\u003c/p\u003e\n\u003cp\u003eThe Blockchain Enabled Accurate Contact Tracing Framework Model (BEACTM) presents a robust, decentralized, and privacy- aware solution to the limitations of conventional contact tracing, particularly in the high-mobility tourism sector. Instead of focusing on step-by-step operations, BEACTM leverages the cryptographic foundations of blockchain to secure health interaction records. Each user\u0026rsquo;s identity is represented not by personally identifiable information (PII), but by a public/private key pair \u003cem\u003e(Kpub, Kpriv),\u003c/em\u003e ensuring cryptographic authentication and non-repudiation. Test results and exposure data are digitally signed using the sender\u0026rsquo;s private key Kpriv, and verified using the corresponding public key Kpub, i.e.,\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eSignature Verification: Verify (Kpub, Message, Signature) = True\u003c/em\u003e\u003c/strong\u003e This approach ensures that data cannot be tampered with and\u003c/p\u003e\n\u003cp\u003ethat only the legitimate owner of Kpriv could have signed the record. Moreover, by avoiding centralized data repositories, BEACTM benefits from blockchain\u0026rsquo;s decentralized architecture, which eliminates single points of failure, enhances fault tolerance, and distributes trust across the network. The system\u0026rsquo;s immutability ensures that once a transaction Ti is added to the chain, altering it would require a computationally infeasible recalculation of all subsequent\u0026nbsp;\u003cstrong\u003e\u003cem\u003ehashes H(Ti+1), H(Ti+2),\u003c/em\u003e\u003c/strong\u003e\u003cem\u003e\u0026nbsp;. .\u003c/em\u003e ., violating the chain\u0026rsquo;s integrity [38].\u003c/p\u003e\n\u003cp\u003eSmart contracts C embedded in the system autonomously execute functions such as exposure notifications and isolation triggers under\u003c/p\u003e\n\u003cp\u003epredefined conditions, such as\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eC(x) \u0026rarr; y\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003ethereby reducing reliance on human intervention. Role-based access control functions A (u, d)\u0026nbsp;\u0026isin;\u0026nbsp;{0, 1} ensure that only authorized users u can access sensitive data d. Furthermore, BEACTM supports compliance with regulations like the General Data Protection Regulation (GDPR) by enforcing data minimization and pseudonymization, ensuring that data is only used for its intended purpose and cannot be traced back to individuals.\u003c/p\u003e\n\u003cp\u003eIn summary, by combining cryptographic rigor, decentralized resilience, and regulatory compliance, BEACTM delivers a secure and scalable model for contact tracing that is well-suited to the complexities of international tourism.\u003cstrong\u003e\u003cbr\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003ed. Furthermore, BEACTM supports compliance with regulations like the GDPR by enforcing data minimization and pseudonymization, ensuring that data is only used for its intended purpose and cannot be traced back to individuals.\u003c/p\u003e"},{"header":"6 Results","content":"\u003cp\u003e\u003c/p\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eIn summary, by combining cryptographic rigor, decentralized resilience, and regulatory compliance, BEACTM delivers a secure and scalable model for contact tracing that is well-suited to the complexities of international tourism. This section presents screenshots of the various interfaces utilized in our study, including the development environment and the contact tracing application. Figure\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e illustrates the Remix IDE interface.\u003c/p\u003e\u003c/div\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThe below Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e shows the snapshot of Metamask which is used as an extension of the browser.\u003c/p\u003e\u003cp\u003eThe below Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003e displays the result of how the smart contact is traced\u003c/p\u003e\u003cp\u003eWhen an individual tested positive for a contagious disease, the app notified the system administrator and used the Bluetooth ID to identify the infected person. This triggered a smart contract to access the blockchain, allowing the tracking of all individuals who had been in contact with the patient. For example, if the infected person’s Bluetooth ID was \u003cb\u003eAYIDGU693842\u003c/b\u003e, the system retrieved the associated contact IDs from the blockchain. These contacts were then alerted through the application, advising them to monitor their health closely and practice self-isolation, even if they showed no symptoms [38].\u003c/p\u003e\u003c/div\u003e"},{"header":"7. Comparative Analysis of Tourist Arrivals in Domestic and international Tourism","content":"\u003cp\u003e\u003cb\u003eA. Analysis of domestic and international tourism (UN World Tourism Organization)\u003c/b\u003e\u003c/p\u003e\u003cp\u003eWhile traditional contact tracing systems, such as centralized mobile apps or manual logging methods, have been useful during health crises like COVID-19, they suffer from several limitations. These include data privacy concerns, limited scalability, risk of data tampering, and inability to verify user-generated inputs.\u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eComparison of Traditional and Blockchain-Based Architectures in Tourism\u003c/p\u003e \u003cdiv class=\"Credit\"\u003e\u003cp\u003e(Adapted from H. Treiblmaier, 2020)\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"3\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eAspect\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eTraditional Architecture\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eBlockchain-Based Architecture\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIntermediaries\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eInvolvement of third-party entities\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eDirect peer-to-peer interactions\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eTransparency\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eLimited visibility\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eFull transparency\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSystem Design\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eCentralized control\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eDecentralized network\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eTrust\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eLack of inherent trust\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eTrust is established inherently\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSecurity\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eLower security measures\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eEnhanced security features\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eReview Authenticity\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePresence of fake reviews\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGenuine, verifiable reviews\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cp\u003eThe proposed BEACTM framework addresses these issues through the core features of blockchain technology:\u003c/p\u003e\u003cp\u003ePrivacy: Traditional systems often require storing sensitive user data in centralized databases, making them vulnerable to breaches. In contrast, BEACTM ensures data is encrypted, decentralized, and user-controlled, allowing individuals to share contact information pseudonymously and only when necessary. This eliminates the” surveillance” concern present in many state-operated apps.\u003c/p\u003e\u003cp\u003eScalability: Centralized servers in conventional systems may struggle under high user loads, especially during peak tourism seasons. BEACTM uses a peer-to-peer architecture, allowing the system to scale horizontally and handle thousands of users without performance degradation.\u003c/p\u003e\u003cp\u003eReliability and Transparency: Unlike traditional methods that can be manipulated (e.g., false check-ins or forged contact histories), BEACTM stores all interactions immutably on the blockchain. This ensures that contact data is tamper-proof and traceable, thereby improving the reliability of infection tracking.\u003c/p\u003e\u003cp\u003eIn a traditional system, if a tourist tests positive, the app notifies close contacts based on GPS or Bluetooth data stored on a centralized server. However, such systems can falsely identify proximity, and users might delete or manipulate their records. BEACTM, on the other hand, verifies contact points through smart contracts, automatically triggering alerts only when pre-defined, blockchain-validated criteria are met—ensuring both accuracy and trustworthiness [27].\u003c/p\u003e\u003cp\u003eBy sharing expert knowledge and the latest developments, it enhances the depth of content in our journal. Feeling assured about our findings, I am now prepared to begin writing the paper.\u003c/p\u003e\u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e above [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e] highlights the differences between conventional and blockchain-driven architectures within the tourism sector. The existing architecture has several limitations, which we identified through our review of prior research, leading to the following evaluation. Figure\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e7\u003c/span\u003e illustrates the number of tourist arrivals in India compared to the pre-pandemic year of 2020. During this period, tourist arrivals in India significantly declined, as indicated by the negative values (-100, -98, etc.) shown in the figure. However, the\u003c/p\u003e\u003cp\u003eimpact gradually reduced once Covid-19 cases were brought under control, leading to a partial recovery in tourism inflow.\u003c/p\u003e\u003cp\u003eSimilarly, Fig.\u0026nbsp;\u003cspan refid=\"Fig8\" class=\"InternalRef\"\u003e8\u003c/span\u003e presents the number of tourist arrivals world- wide compared to the pre-pandemic year of 2020 [41]. This figure also highlights a sharp decline in international tourist numbers due to the outbreak of Covid-19, represented by negative values such as − 100 and other decreasing figures. The trend demonstrates the global disruption of travel and tourism as countries enforced lockdowns, travel bans, and strict health measures.\u003c/p\u003e\u003cp\u003eThese figures clearly indicate how severely the tourism indus- try was affected both in India and globally. The widespread decline underscores the vulnerability of tourism to health crises and the interconnected nature of global travel networks. Despite being one of the fastest-growing sectors before the pandemic, the sudden collapse highlighted the importance of resilience planning and sustainable tourism practices.\u003c/p\u003e\u003cp\u003eFurthermore, the gradual improvement in the figures during the recovery phase points to the adaptability of the sector. With the introduction of vaccination drives, relaxation of restrictions, and the promotion of safe travel initiatives, tourism slowly regained momentum. This trend reflects not only the resilience of the industry but also the renewed confidence of travelers in returning to both domestic and international destinations [27].\u003c/p\u003e\u003cp\u003eThe below Table \u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e shows the estimated worldwide growth in tourist arrivals over time. The negative signs in the table values rep- resent the percentage decline in tourist arrivals compared to the pre-pandemic reference year of 2020. In tourism statistics, a negative growth rate indicates a fall in the number of visitors, reflecting the extent to which the industry was adversely affected during the Covid-19 pandemic. For instance, values such as − 97.\u003c/p\u003e\u003cp\u003eThis decline can be directly attributed to the strict measures taken worldwide to contain the spread of the virus. These included international and domestic travel restrictions, nationwide lock- downs, suspension of flights, closure of borders, and mandatory quarantine policies. As a result, mobility was drastically reduced, causing one of the steepest falls ever recorded in the tourism industry.\u003c/p\u003e\u003cp\u003eThe use of negative signs in such datasets is important, as it quantifies the magnitude of loss and provides a comparative perspective of how severely different time periods were impacted. It highlights the vulnerability of tourism to global crises and emphasizes the need for resilience-building strategies in the sector.\u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c14\" colnum=\"14\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c15\" colnum=\"15\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab6\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eEstimated Worldwide Growth in Tourist Arrivals Over Time\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"15\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003ePeriod\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJan-20\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eFeb-20\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eApr-20\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eJul-20\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eOct-20\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003eNov-20\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u003cp\u003eDec-20\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u003cp\u003eJan-21\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u003cp\u003eApr-21\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u003cp\u003eJun-21\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAug-21\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c13\"\u003e\u003cp\u003eSep-21\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c14\"\u003e\u003cp\u003eJan-22\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAug-22\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eGrowth (%)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e1\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003e-14\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cb\u003e-97\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e\u003cb\u003e-79\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e\u003cb\u003e-82\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e-85\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e\u003cb\u003e-89\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e\u003cb\u003e-86\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e\u003cb\u003e-85\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e\u003cb\u003e-77\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e\u003cb\u003e-63\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e\u003cb\u003e-63\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e\u003cb\u003e4\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e\u003cb\u003e16\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003ch2\u003e7.1 Test cases\u003c/h2\u003e\u003cp\u003eThe Below Table\u0026nbsp;\u003cspan refid=\"Tab7\" class=\"InternalRef\"\u003e7\u003c/span\u003e picks up the id of the infected person and then searches all the ids that came in contact with the id of the infected person and displays it.\u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab7\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 7\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eIdentifiers of Infected Individuals and Their Corresponding Contact Traces\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"3\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSerial No.\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eInfected Person ID\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eContact Traced IDs\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIDHUWE693842\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eYGYGIU657557, ADTLIR564398,\u003c/p\u003e\u003cp\u003eESRDTG657459, UYTOPA548894\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eBIJOUTY657999\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eYTADIU657557, AYRIIR564398,\u003c/p\u003e\u003cp\u003eEIRERD657459, TUDOUR657536, ODADIU985674\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cp\u003eFigure \u003cspan refid=\"Fig9\" class=\"InternalRef\"\u003e9\u003c/span\u003e shows a comparison chart between a traditional and blockchain-based accurate contact tracing model.\u003c/p\u003e\u003cp\u003eFeasibility Study concept proves to be highly practical for broad adoption due to its minimal cost requirements. Since there is no need to buy any physical equipment, it remains affordable and user- friendly for the general public. Medical professionals can quickly start using it, as it only requires a simple and brief setup process to get underway [46].\u003c/p\u003e"},{"header":"8 Conclusion","content":"\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThe COVID-19 pandemic exposed major shortcomings in traditional contact tracing systems, particularly their reliance on large- scale personal data collection, which created privacy concerns and reduced public trust. Applications such as India\u0026rsquo;s Arogya Setu illustrated these challenges, where limited privacy protections hindered widespread acceptance despite strong government support.\u003c/p\u003e\u003cp\u003eThis study addressed these issues through the development of the BEACTM (Blockchain Enabled Accurate Contact Tracing Model), a privacy-preserving framework designed to improve both accuracy and trust in contact tracing. The results of the pro- posed model demonstrate that users only need to share minimal health data, such as heart rate, through the application to receive timely medical advice. This reduces the need for costly equipment, improves the reliability of remote consultations, and offers significant benefits for individuals with limited mobility. At the same time, blockchain integration ensures transparency, immutability, security, and traceability, establishing a trusted system for data management. Overall, BEACTM shows strong potential to enhance public health responses during pandemics by balancing effective contact\u003c/p\u003e\u003cp\u003etracing with privacy protection. Its scalability across sectors such as healthcare, education, transportation, and tourism underscore its adaptability as a long-term solution. By combining practical usability with blockchain-enabled trust, BEACTM provides a sustainable architecture capable of strengthening both pandemic preparedness and broader digital healthcare resilience.\u003c/p\u003e\u003cp\u003eReal-World Applications The proposed model was designed in response to the challenges experienced during the COVID-19 pan- demic, where delays in detecting possible exposure created serious health risks and limited access to medical support left many individuals uncertain about their symptoms [35]. By enabling patients to share heart rate information through a user-friendly application, the system can provide timely medical guidance, reduce dependence on expensive diagnostic equipment, and improve the accuracy of remote consultations. It also offers considerable advantages for those with restricted mobility by ensuring private and comfortable access to healthcare services from home [34].\u003c/p\u003e\u003cp\u003eIn practical use, this model has the potential to strengthen healthcare delivery during public health crises and beyond. The integration of blockchain technology further enhances its value by ensuring data transparency, immutability, security, and traceability [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e][\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e], thereby fostering greater trust in digital health solutions.\u003c/p\u003e\u003cp\u003eFuture developments could involve adding features such as respiratory rate monitoring and separate systolic\u0026ndash;diastolic blood pressure analysis to broaden its diagnostic capabilities [46].\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\u003ch2\u003e8.1 Future Scope\u003c/h2\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThe proposed BEACTM framework can be expanded beyond tourism to other high-contact sectors such as healthcare facilities, educational institutions, public events, and transportation systems, where real-time contact tracing can play a vital role in protecting vulnerable populations and managing outbreaks. Its adaptability highlights the scalability of the model as a versatile tool for broader public health applications.\u003c/p\u003e\u003cp\u003eFuture improvements may involve enhancing real-time capabilities through high-performance blockchain networks and IoT integration, enabling instant validation of exposure data. Additional diagnostic features, such as respiratory rate monitoring and sepa- rate analysis of systolic and diastolic blood pressure, could further strengthen its role in preventive healthcare.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003eAcknowledgment\u003c/p\u003e\n\u003cp\u003eI would like to express my deepest respect and gratitude to His Holiness, the Pontiff of Sri Siddagangaa Math, Jagadguru Sri Sri\u003c/p\u003e\n\u003cp\u003eSri Shivakumara Mahaswamiji. I am also sincerely thankful to my family, my mentors Prof. Dr. Parma Nand and Prof. Dr. Vikram Bali, and all those who supported me in successfully completing this research.\u003c/p\u003e\n\u003cp\u003eConflict of interest/Competing interests:\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e1. \u0026nbsp;\u0026nbsp;\u003c/strong\u003eThe authors declare that they have no financial or personal relationships that could have influenced the work reported in this paper.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2. \u0026nbsp;\u0026nbsp;\u003c/strong\u003eThere are no conflicts of interest associated with this manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3. \u0026nbsp;\u0026nbsp;\u003c/strong\u003eAll authors confirm that they have no connections with any organization or entity that has a financial or non-financial stake in the content of this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e4. \u0026nbsp;\u0026nbsp;\u003c/strong\u003eThe authors report no ownership or financial interest in any of the materials discussed within this article.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eKumar, B.C.G., Nand, P., Bali, V.: BLOBDTBM: Blockchain-based structure for decentralized tourism business model. 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J Sustain Tour 29(1):1\u0026ndash;20. https://doi.org/10.1080/09669582.2020.1758708\u003c/li\u003e\n\u003cli\u003eNakamoto S (2008) Bitcoin: A Peer-to-Peer Electronic Cash System. https://bitcoin.org/bitcoin.pdf\u003c/li\u003e\n\u003cli\u003eZhao Z, Chen W, Li H, Wang Y, Chen X (2021) BeepTrace: Blockchain-enabled privacy-preserving contact tracing for COVID-19 pandemic and beyond. IEEE Internet Things J 8(14):11549\u0026ndash;11563. https://doi.org/10.1109/JIOT.2021.3063952\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"international-journal-of-system-assurance-engineering-and-management","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"ijsa","sideBox":"Learn more about [International Journal of System Assurance Engineering and Management](http://link.springer.com/journal/13198)","snPcode":"13198","submissionUrl":"https://www.editorialmanager.com/ijsa/default2.aspx","title":"International Journal of System Assurance Engineering and Management","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Blockchain, COVID-19, Smart contracts, Tourist, Contact Tracing, omicron, SARS-COV-2, JN.1","lastPublishedDoi":"10.21203/rs.3.rs-4496228/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4496228/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eEffective contact tracing plays a vital role in controlling infectious diseases but becomes particularly challenging in highly mobile sectors such as tourism. This study presents the Blockchain-Enabled Accurate Contact Tracing Model (BEACTM), a secure and privacy-focused framework that harnesses blockchain’s decentralized and immutable structure to enable precise data collection, verified information exchange, and automated alerts through smart contracts. User privacy is protected through cryptographic key management, digital identity mechanisms, and access control policies, ensuring that sensitive health information remains accessible only to authorized parties.\u003c/p\u003e\n\u003cp\u003eDesigned for interoperability with health and travel infrastructures, BEACTM supports cross-border implementation. Simulation results demonstrate significant improvements in accuracy, responsiveness, and trustworthiness over conventional systems, enabling safer and more resilient travel during pandemics. Beyond tourism, BEACTM is applicable to hospitals, public trans- port, and mass events, with future extensions integrating IoT and scalable blockchain architectures for broader public health protection.”\u003c/p\u003e","manuscriptTitle":"Blockchain Enabled Accurate Contact Tracing Model (BEACTM) for the Future Smart Tourism Industry","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-11-02 14:54:20","doi":"10.21203/rs.3.rs-4496228/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Accept","date":"2025-12-20T11:34:36+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-11-20T18:38:09+00:00","index":"","fulltext":""},{"type":"reviewerAgreed","content":"","date":"2025-09-17T17:39:26+00:00","index":0,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-09-17T13:12:33+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"International Journal of System Assurance Engineering and Management","date":"2025-09-08T14:13:42+00:00","index":"","fulltext":""},{"type":"submitted","content":"International Journal of System Assurance Engineering and Management","date":"2025-09-07T08:42:15+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"international-journal-of-system-assurance-engineering-and-management","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"ijsa","sideBox":"Learn more about [International Journal of System Assurance Engineering and Management](http://link.springer.com/journal/13198)","snPcode":"13198","submissionUrl":"https://www.editorialmanager.com/ijsa/default2.aspx","title":"International Journal of System Assurance Engineering and Management","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"15cbc4a7-4a8c-4a3d-be5f-62cfc122ea71","owner":[],"postedDate":"November 2nd, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2026-02-02T15:59:53+00:00","versionOfRecord":{"articleIdentity":"rs-4496228","link":"https://doi.org/10.1007/s13198-025-03123-6","journal":{"identity":"international-journal-of-system-assurance-engineering-and-management","isVorOnly":false,"title":"International Journal of System Assurance Engineering and Management"},"publishedOn":"2026-01-27 15:57:44","publishedOnDateReadable":"January 27th, 2026"},"versionCreatedAt":"2025-11-02 14:54:20","video":"","vorDoi":"10.1007/s13198-025-03123-6","vorDoiUrl":"https://doi.org/10.1007/s13198-025-03123-6","workflowStages":[]},"version":"v1","identity":"rs-4496228","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4496228","identity":"rs-4496228","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}