Enhancing Anonymity of Internet of Vehicle Identities in Connected Vehicle Security Services Using Batch Verification Algorithm

This paper proposes a solution for enhancing the anonymity of Internet of vehicle identities in the security services of connected vehicles, which generate a large amount of sensitive information during communication, such as vehicle location and route. The proposed solution is based on an anonymous identity authentication scheme using a batch verification algorithm, which employs technologies like anonymous credentials and zero-knowledge proofs. The solution also provides a method for recovering identities through trusted third parties. The experimental results show that the proposed scheme is computationally efficient and performs better than some compared schemes when verifying batches of signatures exceeding 11. Additionally, the paper presents the optimal period for batch verification of the scheme in applications such as BSM of DSRC and vehicle proximity payment.