ABSTRACT Due to the issue of vehicle identity privacy protection faced by the Internet of Vehicles (IoV), pseudonym generation techniques are employed to conceal vehicle identities, thereby ensuring anonymous real‐time communication and mitigating privacy leakage risks. However, existing pseudonym generation schemes are characterized by high communication overhead, significant storage burden on vehicles, and strong reliance on infrastructure, which collectively limit their applicability in highly dynamic and resource‐constrained environments. To address these challenges, an efficient dynamic pseudonym update scheme based on neighbor collaboration is proposed in this paper. Through the design of a decentralized trusted neighbor collaboration algorithm, flexible pseudonym swap among vehicles is enabled, thereby reducing reliance on road side units (RSUs). In addition, a short‐term pseudonym self‐generation mechanism for vehicles is introduced, which significantly decreases the number of pre‐stored pseudonyms and enhances generation efficiency. Security analysis indicates that the proposed scheme resists replay and forgery attacks while ensuring identity privacy, unlinkability, and traceability. In terms of performance, simulation results reveal that in frequent pseudonym update scenarios, computation overhead is reduced by approximately 27%, vehicle storage burden is lowered by more than 50%, and communication efficiency is improved by about 35% compared with existing methods. Experimental validation further validates that the scheme achieves strong security and practicality in highly mobile and resource‐constrained IoV environments, thereby providing a scalable solution for identity privacy protection.
Dong et al. (Sun,) studied this question.