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A Fair Blind Signature Scheme to Revoke Malicious Vehicles in VANETs

Xiaoliang Wang1,*, Jianming Jiang1,2, Shujing Zhao1, Liang Bai1

School of Computer and Communication Engineering, Hunan University of Science and Technology, Xiangtan, 411201, Hunan, China.
School of Computer Science, University of Newcastle, Newcastle, 2308, New South Wales, Australia.

* Corresponding Author: Xiaoliang Wang. Email: email.

Computers, Materials & Continua 2019, 58(1), 249-262.


With the rapid development of IoT (Internet of Things), VANETs (Vehicular Ad-Hoc Networks) have become an attractive ad-hoc network that brings convenience into people’s lives. Vehicles can be informed of the position, direction, speed and other real-time information of nearby vehicles to avoid traffic jams and accidents. However, VANET environments could be dangerous in the absence of security protection. Because of the openness and self-organization of VANETs, there are plenty of malicious pathways. To guarantee vehicle security, the research aims to provide an effective VANET security mechanism that can track malicious vehicles as necessary. Therefore, this work focuses on malicious vehicles and proposes an anonymous authentication scheme in VANETs based on the fair blind signature to protect vehicle security.


Cite This Article

X. Wang, J. Jiang, S. Zhao and L. Bai, "A fair blind signature scheme to revoke malicious vehicles in vanets," Computers, Materials & Continua, vol. 58, no.1, pp. 249–262, 2019.


cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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