Sybil Attack with RSU Detection and Location Privacy in Urban VANETs- an Efficient EPORP Technique

Sybil Attack with RSU Detection and Location Privacy in Urban VANETs- an Efficient EPORP Technique | 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 Sybil Attack with RSU Detection and Location Privacy in Urban VANETs- an Efficient EPORP Technique Nitha C Velayudhan, Anitha A, Mukesh Madanan This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-680396/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 24 Sep, 2021 Read the published version in Wireless Personal Communications → Version 1 posted 3 You are reading this latest preprint version Abstract Nowadays, Vehicular ad hoc networks (VANETs) has received interest in the research because it is used to provide the information for drivers and passengers. In the urban VANET, security and safety is a main issue in recent days because of different kinds of attacks. From the attacks, Sybil attack can be considered as a very difficult for urban VANET networks. Hence, in this paper Emperor Penguin Optimization based Routing protocol (EPORP) is developed for detecting the Sybil attack as well as increasing the system performance. The main objective of the research is detecting the Sybil attack as well as improve the security in VANETS. The initial objective is achieved with the help of Rumour riding technique which detect the Sybil attack in the urban VANET. Similarly, the security of the system is achieved with the help of Split XOR (SXOR) operation. In the SXOR operation, the optimal key is generated with the assistance of Emperor Penguin Optimization (EPO). The proposed method is implemented in NS2 platform and performances are evaluated by metrics such as delay, throughput, delay, encryption time and decryption time. The proposed method is compared with existing methods such as Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO) and Firefly Algorithm (FA) respectively. While analyzing the delivery ratio, the proposed method has 0.96sec and the WOA, PSO and FA is 0.94, 0.92 and 0.90 respectively. From the analysis, the proposed method has the high delivery ratio value compared with the WOA, PSO and FA methods. Similarly, the other parameters are analyzed and compared with the existing methods. Cell Communication and Signaling security SXOR operation sybil attack malicious node urban VANET Rumour routing technique emperor penguin optimization Full Text Cite Share Download PDF Status: Published Journal Publication published 24 Sep, 2021 Read the published version in Wireless Personal Communications → Version 1 posted Reviews received at journal 09 Jul, 2021 Editor assigned by journal 08 Jul, 2021 First submitted to journal 30 Jun, 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-680396","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":38571217,"identity":"6ab16d28-a054-4d03-a25a-85e5ed1346a3","order_by":0,"name":"Nitha C 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