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Issue title: Special Section: Fuzzy theoretical model analysis for signal processing
Guest editors: Valentina E. Balas, Jer Lang Hong, Jason Gu and Tsung-Chih Lin
Article type: Research Article
Authors: Ji, Wenjiang; * | Zhu, Lei | Wang, Yichuan | Liu, Zheng | Hei, Xinhong
Affiliations: Department of Computer Science and Engineering, Xi’An University of Technology, Xi’An, China
Correspondence: [*] Corresponding author. Wenjiang Ji, Department of Computer Science and Engineering, Xi’An University of Technology, 5th TaiBai South Road, Xi’An, China. E-mail: wjj@xaut.edu.cn.
Abstract: Vehicular ad hoc networks (VANET) is seen as an effective solution to ensure the driving safety and efficiency. As a key foundation, the road side unit (RSU) connect with each other to form a backbone network in VANET. The authentication of RSUs is the main tasks to prevent the secure communication in VANET suffering from various attacks caused by cunning adversaries. In this paper, we propose a new type of verifiable secret sharing (VSS) scheme based on bivariate polynomial to achieving the RSU authentication in a secret sharing way. Our proposed VSS based authentication includes two phases. In phase 1, the t RSUs that participate in secret reconstruction collaborate to detect whether there exist illegitimate ones; in phase 2, the t legitimate RSUs reveal their shares for secret reconstruction, and the fake shares can be identified. Our VSS facilitates the RSU authentication since (1) any RSUs participate in secret reconstruction can be confirmed legitimate, (2) any fake shares revealed in secret reconstruction can be identified, (3) a globalized group temporary session key will be established after the VSS process. In addition, our VSS scheme is unconditional secure since the security of our VSS is not based on any computational assumption.
Keywords: Vehicular ad hoc networks, security, RSU authentication, verifiable secret sharing
DOI: 10.3233/JIFS-179286
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4531-4536, 2019
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