基于安全多方计算的车载网隐私保护机制

为了解决当前车载网隐私保护机制的安全性和效率问题,基于安全多方计算理论和匿名认证协议,提出了一种新的车载网节点隐私保护方案.该方案利用线性方程组的求解理论,采用安全高效的茫然传输机制,避开了传统的计算复杂的公钥密码算法.对方案的安全性和效率分析的结果表明,新方案不仅能够解决车载网中发送者隐私、接收者隐私、匿名性、共谋攻击、重放攻击等多种安全问题,而且认证效率也得到了有效提高,在计算性能受限的物联网环境中,具有理论和应用价值.

Privacy Protection Mechanism Based on Secure Multi-Party Computation in VANET

To solve the security and efficiency problem of the existing privacy protection schemes in vehicular network,a new privacy protection scheme was proposed based on security multi-party computation and anonymous authentication.Because of linear equations and secure and efficient oblivious transfer mechanism,the traditional public key cryptography algorithm is avoided.It is shown that the proposed scheme not only can fulfill multiple security requirements,such as privacy of sender,privacy of receiver,anonymity,collusion attack,replay attack,etc,but also can improve the authentication efficiency.The scheme is of significance and application value in limited computational performance environments such as Internet of Things.