Scalable and adjustable self-agent pseudonym management scheme for intelligent transportation systems

Ming Yang; Rongwang Jiang; Shuang Wei; Caofang Long

doi:10.1117/12.2656546

22 December 2022 Scalable and adjustable self-agent pseudonym management scheme for intelligent transportation systems

Ming Yang, Rongwang Jiang, Shuang Wei, Caofang Long

Proceedings Volume 12508, International Symposium on Artificial Intelligence and Robotics 2022; 1250807 (2022) https://doi.org/10.1117/12.2656546
Event: Seventh International Symposium on Artificial Intelligence and Robotics 2022, 2022, Shanghai, China

Abstract

A pseudonym is the basic method of intelligent transportation system privacy protection. Using replaceable multi-pseudonym scheme can better protect the location privacy of vehicles. At present, pseudonym supply methods mainly include preloading and on-demand. The validity period of preloading scheme is fixed, the replacement is limited, the storage overhead is huge and the pseudonym waste is serious. The on-demand scheme needs roadside unit or pseudonym certificate authority assistance, with large delay, hidden dangers of Sybil attack and other problems. This paper proposes a massive pseudonym management scheme based on certificates signature and pseudonym self-agent generated by the vehicle. The scheme meets all the requirements of conditional pseudonym authentication. Through the self-agent generation of short-term pseudonyms, the system can realize the efficient management of the pseudonyms of millions of vehicles. The supply of pseudonym needs to be authorized by the pseudonym management authority, avoiding the abuse of pseudonym and Sybil attack. In this scheme, the pseudonym log server is used to provide the transparency of the management. For pseudonym revocation, we adopt the whitelist-like method without using the traditional certificate revocation list. We have carried out security analysis and performance evaluation of this scheme, and found that this scheme has good scalability and supports the transparency of management.

Citation Download Citation

Ming Yang, Rongwang Jiang, Shuang Wei, and Caofang Long "Scalable and adjustable self-agent pseudonym management scheme for intelligent transportation systems", Proc. SPIE 12508, International Symposium on Artificial Intelligence and Robotics 2022, 1250807 (22 December 2022); https://doi.org/10.1117/12.2656546

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