Encrypted Network Architectures with Fuzzy Logic and Modular Constraints for High-Security Communication

Encrypted Network Architectures with Fuzzy Logic and Modular Constraints for High-Security Communication | 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 Article Encrypted Network Architectures with Fuzzy Logic and Modular Constraints for High-Security Communication A. Meenakshi, S. Dhanushiya, Leo Mrsic, Antonios Kalampakas, Sovan Samanta This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7027933/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In the era of digital communication and security risks, safeguarding sensitive data requires advanced encryption paradigms that are structurally attack proof and inference based decryption proof. This research introduces a novel cryptographic paradigm based on interconnected encrypted networks constructed from multiple fuzzy encoded subnetworks. Each of the subnetworks is built around a dominating vertex with controlled rules of connectivity that exclude direct communication links among the dominating vertices and the neighboring vertices. Strategic imposition of topological constraints ensures only adjacent vertices from different subnetworks can communicate, forming a non-trivial but cohesive encrypted network. Integration of fuzzy membership values in the network construction makes the model significantly enhance uncertainty, rendering decryption very difficult without understanding the network formation principle. The hybrid technique integrates ideas from graph theory, fuzzy logic, and modular cryptography, and is well suited for protecting sensitive systems such as military command relays, distributed financial ledgers, and classified communication protocols. The resulting encrypted network not only serves as a cipher text, but also possesses data complexity, structural ambiguity, and immunity to pattern recognition based attacks. Physical sciences/Engineering Physical sciences/Mathematics and computing Physical sciences/Physics Network Affine encryption carmichael number hexagonal fuzzy tuple vertex order coloring Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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-7027933","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":489689450,"identity":"1319b92e-6117-4f3c-90e5-ad35fd2da17b","order_by":0,"name":"A. Meenakshi","email":"","orcid":"","institution":"Vel Tech Rangarajan Dr. Sagunthala R\u0026D Institute of Science and Technology Chennai","correspondingAuthor":false,"prefix":"","firstName":"A.","middleName":"","lastName":"Meenakshi","suffix":""},{"id":489689455,"identity":"0121b5b8-e9d1-4adc-ba0b-6279321ec880","order_by":1,"name":"S. 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