Title: CPAAS: an efficient conditional privacy-preservation anonymous authentication scheme using signcryption in VANET

Authors: Meenakshi Gupta; Poonam Gera; Bharavi Mishra

Addresses: LNM Institute of Information Technology, LNMIIT Deemed University, Rajasthan, Jaipur, India ' LNM Institute of Information Technology, LNMIIT Deemed University, Rajasthan, Jaipur, India ' LNM Institute of Information Technology, LNMIIT Deemed University, Rajasthan, Jaipur, India

Abstract: Vehicular Ad-Hoc Network (VANET) is a tremendously promising innovation in the field of Intelligent Transportation System (ITS). It facilitates a vehicle to communicate on the road with infrastructure or OBU to increase road safety and driving conditions. Further, to deliver the same requires a secure network build-up through a legitimate entity. However, in an open network, any of the participating entities may be malicious. Therefore we need a proper solution to mitigate the effects of such entities by authenticating them, and it should also preserve the privacy of entity and integrity of message so that the impact of any malicious entity can be nullified. The existing solutions focus on any of the above aspects, but not all, further they are not computationally efficient. Inspired by this, we propose a computationally efficient approach that achieves most of the security requirements with less communication overhead. We have used distributed pseudo_id for preserving the privacy of vehicle and the ID-based Certificateless Signcryption scheme based on elliptic curve cryptography to provide an effective way to achieve mutual authentication, integrity, non-repudiation, and confidentiality. The security analysis of our approach demonstrates the efficiency and effectiveness of our proposed scheme.

Keywords: authentication; security; conditional privacy preservation; vehicular ad-hoc network; pseudonyms; signcryption.

DOI: 10.1504/IJVICS.2021.113485

International Journal of Vehicle Information and Communication Systems, 2021 Vol.6 No.1, pp.88 - 105

Received: 20 May 2019
Accepted: 26 Mar 2020

Published online: 24 Feb 2021 *

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