【摘要】 为了抵御身份伪造攻击和解决认证效率低的问题，提出了一种基于主从链的跨域身份认证算法（Cross-domain identity Authentication algorithm based on the Master-Slave chain,CAMS）。该算法基于区块链技术利用主从链方式实现了车辆数据的跨域存储和共享，从而提高了跨域身份认证效率。此外，CAMS算法在跨域认证过程中引入了假名的生成和验证参数。在验证消息之前，进一步验证车辆身份，确保认证身份的匿名性，抵御身份伪造攻击。仿真结果表明，CAMS在计算开销和认证效率方面具有较好的性能。更多还原

【Abstract】 To address the problems of identity forgery attacks and low authentication efficiency, this paper proposes a cross-domain identity authentication algorithm based on the master-slave chain, called CAMS.The algorithm is based on blockchain technology and utilizes the master-slave chain to achieve crossdomain storage and sharing of vehicle data, thereby improving the cross-domain authentication efficiency.Moreover, the CAMS algorithm introduces pseudonym generation and verification parameters in the crossdomain authentication process. It further verifies the vehicle identity before verifying the message, ensuring the anonymity of authentication identity and resisting identity forgery attacks. Simulation results indicate that CAMS has better performance in terms of computational overhead and authentication efficiency.更多还原