Symmetric Key and Polynomial Based Key Generation Mechanism for Secured Data Communications in 5G Networks

Symmetric Key and Polynomial Based Key Generation Mechanism for Secured Data Communications in 5G 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 Symmetric Key and Polynomial Based Key Generation Mechanism for Secured Data Communications in 5G Networks Pradeep Suthanthiramani, Muthurajkumar Sannasy, Sannasi Ganapathy, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-565284/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 31 Jan, 2024 Read the published version in Soft Computing → Version 1 posted 5 You are reading this latest preprint version Abstract Fifth Generation (5G) networks provide data communications through various latest technologies including Software Defined Network (SDN), Artificial Intelligence, Machine Learning and Cloud Computing. In 5G, secure data communication is a challenging issue due to the presence of enormous volume of users including malicious users communicating with latest technologies and also based their own requirements. In such a scenario, fuzzy rules and cryptographic techniques can play a major role in providing security to the data which are either communicated through the network or stored in network based databases including distributed databases and cloud databases with cloud networks. Therefore, new and efficient mechanisms for generation and exchange of keys are necessary since they are the most important component of cryptographic methods. Since most of the existing key generation techniques are focusing on 3G and 4G networks, new key generation methods that can be generalized to n-th order polynomials are necessary to suit the security requirements of 5G networks which is smart by using rules from Artificial Intelligence. This paper proposes a new key generation and encryption/decryption mechanism which is based on both symmetric key cryptography and polynomial operations for providing effective security on data communication in 5G networks. In this work, we introduce the usage of fuzzy rules and Binomial Theorem (Pascal triangle) technique for performing the data encryption process more efficiently since it is not used in any of the existing cryptographic algorithms. Moreover, two different polynomial equations, one of degree three and another of degree two are used in the proposed work for effective key generation. Here, we have applied differential calculus for finding the second-degree polynomial. In the decryption part of the proposed mechanism, n th root operation is applied which is able to reduce the number of steps used in a single mode operation. The experimental results of the proposed work proved that the proposed security model with fuzzy rule-based approach is better than other related systems that are available in the literature in terms of reduction in computational complexity and increase in security. Computer Architecture and Engineering Pascal Triangle Polynomial differential calculus two degree polynomial three degree polynomial Symmetric key security fuzzy rules encryption and decryption Full Text Cite Share Download PDF Status: Published Journal Publication published 31 Jan, 2024 Read the published version in Soft Computing → Version 1 posted Editorial decision: Accept 17 Dec, 2023 Reviewers agreed at journal 15 Aug, 2023 Reviewers invited by journal 14 Jul, 2021 Editor assigned by journal 26 May, 2021 First submitted to journal 26 May, 2021 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. 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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-565284","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":39553084,"identity":"57f306e2-378f-4610-826a-c1d8a8082448","order_by":0,"name":"Pradeep Suthanthiramani","email":"data:image/png;base64,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","orcid":"","institution":"Anna University Chennai","correspondingAuthor":true,"prefix":"","firstName":"Pradeep","middleName":"","lastName":"Suthanthiramani","suffix":""},{"id":39553085,"identity":"09f25d2e-655e-4075-8404-8593c2bdf52e","order_by":1,"name":"Muthurajkumar Sannasy","email":"","orcid":"","institution":"Anna University","correspondingAuthor":false,"prefix":"","firstName":"Muthurajkumar","middleName":"","lastName":"Sannasy","suffix":""},{"id":39553086,"identity":"c6fbed1e-bec3-4055-8187-4cd2427ea195","order_by":2,"name":"Sannasi Ganapathy","email":"","orcid":"","institution":"VIT University - 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In 5G, secure data communication is a challenging issue due to the presence of enormous volume of users including malicious users communicating with latest technologies and also based their own requirements. In such a scenario, fuzzy rules and cryptographic techniques can play a major role in providing security to the data which are either communicated through the network or stored in network based databases including distributed databases and cloud databases with cloud networks. Therefore, new and efficient mechanisms for generation and exchange of keys are necessary since they are the most important component of cryptographic methods.\u0026nbsp;Since most of the existing key generation techniques are focusing on 3G and 4G networks, new key generation methods that can be generalized to n-th order polynomials are necessary to suit the security requirements of 5G networks which is smart by using rules from Artificial Intelligence. This paper proposes a new key generation and encryption/decryption mechanism which is based on both symmetric key cryptography and polynomial operations for providing effective security on data communication in 5G networks. In this work, we introduce the usage of fuzzy rules and Binomial Theorem (Pascal triangle) technique for performing the data encryption process more efficiently since it is not used in any of the existing cryptographic algorithms. Moreover, two different polynomial equations, one of degree three and another of degree two are used in the proposed work for effective key generation. Here, we have applied differential calculus for finding the second-degree polynomial. In the decryption part of the proposed mechanism, n\u003csup\u003eth\u003c/sup\u003e root operation is applied which is able to reduce the number of steps used in a single mode operation. 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