QFA-ACPN: A NOVEL QUATERNIONS FIREFLY ALGORITHM BASED AUTHENTICATION WITH PRESERVATION AND REPUDIATION FRAMEWORK FOR VANETS

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RAJESHKUMAR M KARTHIKA S THARANIDEVI M

Abstract

A Vehicular Ad Hoc Network (VANET) is a network with the purpose of allows real-time communication among vehicles and road-side units. VANET is a facilitating technology designed for Intelligent Transportation Systems (ITSs). Several number of research work have been in the recent works regarding to the security issue in VANETs, by using symmetric or asymmetric key security methods. Both of these methods symmetric based key security methods are focused rather than the asymmetric key security for VANETs in message authentication. A perfect VANET must have a mechanism in the direction of authenticate vehicles by means of privacy preservation at the same time as maintaining message nonrepudiation. In this paper work introduce and develops a novel Quaternions Firefly Algorithm (QFA) based Authentication Framework by means of Preservation and Repudiation (QFA- ACPN) designed for VANETs via the use of IBC method for verification and the pseudonym- based mechanism designed for conditional privacy preservation and non-repudiation in Urban Vehicular Communications (UVC). The major advantages of QFA-ACPN are its reusability. Moreover the solution is extended straightly from PKC, Intrusion Detection based Signature (IBS) and ID-based Online/Offline Signature (IBOOS) schemes, QFA-ACPN have been also utilized by means of new schemes designed for safety and performance improvements. The proposed QFA-ACPN present the conditional vehicle secrecy designed for privacy preservation by means of traceability designed for the non-repudiation, in case with the purpose of malicious vehicles exploitation anonymous authentication techniques in the direction of achieve malicious attacks. In QFA-ACPN, initiate the Public-Key Cryptography (PKC) in the direction of the pseudonym generation, which make sure a legitimate third party in the direction of attain nonrepudiation of vehicles by means of finding their real IDs. QFA-ACPN demonstrated that the achievability of ACPN regarding to the system analysis with their parameters such as verification, privacy protection, non-repudiation, time constraint, accessibility and incorporation. Furthermore, the storage and computation overhead of QFA- CPN is simulated and experimented via the use of network simulation tool.

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