Designing of Blockchain-Based Cyber Security for the Protection of Distributed Denial of Service (DDoS) Attacks on Client-Server Networks

Designing of Blockchain-Based Cyber Security for the Protection of Distributed Denial of Service (DDoS) Attacks on Client-Server Networks | 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 Designing of Blockchain-Based Cyber Security for the Protection of Distributed Denial of Service (DDoS) Attacks on Client-Server Networks Eshetie Teka Mitiku, Yirga Yayeh Munaye, Subramanian Selvakumar -, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7535953/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 17 You are reading this latest preprint version Abstract The complexity and difficulty of the ongoing and unstoppable cybercrimes in the traditional or conventional Artificial Intelligence (AI) system create the worst problems for the recent day’s modern cyberspace. The traditional systems are always dependent on centralized systems, which have insufficient performance to prevent and reveal DDoS attacks and modern cybersecurity challenges. The traditional systems of artificial intelligence (AI), machine learning (ML), and Deep Learning (DL) are limited only to the task of detecting DDoS attacks; they are not able to protect the client-server network cyberspace from DDoS attacks. Centralized-based property of the traditional systems produces a particular failure that makes them more attractive victims in cyberspace by DDoS attack criminals. The difficulty of deploying Artificial Intelligence (AI) cybersecurity techniques often results in poor DDoS attack protection performance, leaving organizations vulnerable and susceptible to DDoS attacks. The principal and major goal of the study is to formulate a strong Blockchain Technology-based Cyber Security emerging technology-oriented technique, particularly designing and modeling for protecting client-server network cyberspace from DDoS-based cyber-attacks. We have a few numbers of system methodologies like data collection (i.e, related literature review, dataset selection and collection, and experimental data collection), selection of performance evaluation parameters, validation process, experimental equations of performance evaluation metrics, and selection and collection of hardware and software resources. Different models are trained and tested on the CIC-DDoS2019 dataset; we have seen that there are different values of performance evaluation metrics for different models. The CNN model showed the value of 98.5% and 99.5% DDoS attack detection accuracy and prevention capability, respectively. Blockchain-based Systems Client-Server Network architecture Cyber Security DDoS attack Decentralized nature Protection Emerging Technology Blockchain Technology Decentralized property Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 19 Oct, 2025 Reviews received at journal 03 Oct, 2025 Reviews received at journal 02 Oct, 2025 Reviewers agreed at journal 26 Sep, 2025 Reviewers agreed at journal 26 Sep, 2025 Reviews received at journal 25 Sep, 2025 Reviewers agreed at journal 25 Sep, 2025 Reviews received at journal 25 Sep, 2025 Reviews received at journal 25 Sep, 2025 Reviewers agreed at journal 24 Sep, 2025 Reviewers agreed at journal 24 Sep, 2025 Reviewers agreed at journal 24 Sep, 2025 Reviewers invited by journal 24 Sep, 2025 Editor invited by journal 21 Sep, 2025 Editor assigned by journal 17 Sep, 2025 Submission checks completed at journal 17 Sep, 2025 First submitted to journal 04 Sep, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7535953","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":524593023,"identity":"7243d2ec-f9f2-4cbd-9060-f0fffb4f2264","order_by":0,"name":"Eshetie Teka 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