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Open Access

ARTICLE

An Anonymous Authentication Scheme with Controllable Linkability for Vehicle Sensor Networks

Yousheng Zhou1,2, Lvjun Chen1, Xiaofeng Zhao1,*, Zheng Yang3
1 College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China
2 School of Cyber Scurity and Information Law, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China
3 Singapore University of Technology and Design, 8 Somapah Rd, 487372, Singapore
* Corresponding Author: Xiaofeng Zhao. Email:
(This article belongs to this Special Issue: Intelligent Models for Security and Resilience in Cyber Physical Systems)

Computer Modeling in Engineering & Sciences 2020, 125(3), 1101-1118. https://doi.org/10.32604/cmes.2021.013289

Received 01 August 2020; Accepted 30 September 2020; Issue published 15 December 2020

Abstract

Vehicle sensor networks (VSN) play an increasingly important part in smart city, due to the interconnectivity of the infrastructure. However similar to other wireless communications, vehicle sensor networks are susceptible to a broad range of attacks. In addition to ensuring security for both data-at-rest and data-in-transit, it is essential to preserve the privacy of data and users in vehicle sensor networks. Many existing authentication schemes for vehicle sensor networks are generally not designed to also preserve the privacy between the user and service provider (e.g., mining user data to provide personalized services without infringing on user privacy). Controllable linkability can be used to facilitate an involved entity with the right linking key to determine whether two messages were generated by the same sender, while preserving the anonymity of the signer. Such a functionality is very useful to provide personalized services. Thus, in this paper, a threshold authentication scheme with anonymity and controllable linkability for vehicle sensor networks is constructed, and its security is analyzed under the random oracle model.

Keywords

Threshold authentication; controllable linkabilty; group signature; vehicle sensor networks

Cite This Article

Zhou, Y., Chen, L., Zhao, X., Yang, Z. (2020). An Anonymous Authentication Scheme with Controllable Linkability for Vehicle Sensor Networks. CMES-Computer Modeling in Engineering & Sciences, 125(3), 1101–1118.



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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