Title: TBPA: TESLA-based privacy-preserving authentication scheme for vehicular ad hoc networks

Authors: Xincheng Li; Yali Liu; Xinchun Yin

Addresses: College of Information Engineering, Yangzhou University, Yangzhou, Jiangsu, China ' College of Information Engineering, Yangzhou University, Yangzhou, Jiangsu, China; College of Computer Science and Technology, Jiangsu Normal University, Xuzhou, Jiangsu, China ' Guangling College; College of Information Engineering, Yangzhou University, Yangzhou, Jiangsu, China

Abstract: Vehicular ad hoc networks (VANETs) aim to strengthen traffic safety and improve traffic efficiency through wireless communication among vehicles and fixed infrastructures. However, to protect the communication from different potential attacks, identity and message authentication is a necessary solution to guarantee security. In this paper, an efficient privacy preserving authentication scheme based on TESLA called TBPA is proposed. Bilinear mapping is adopted to produce pseudonyms offline and realise anonymity. Besides, TBPA extends TESLA protocol and generates mapping values with time-related messages to achieve timely verification, which increases the efficiency of the scheme. Performance analysis shows that our scheme possesses excellent security and privacy properties and can resist different malicious attacks.

Keywords: vehicular ad hoc networks; VANETs; privacy preserving; authentication; TESLA; anonymity.

DOI: 10.1504/IJES.2020.105944

International Journal of Embedded Systems, 2020 Vol.12 No.2, pp.156 - 165

Received: 30 Jun 2018
Accepted: 07 Nov 2018

Published online: 10 Mar 2020 *

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