5G车载网络电力注入的大数据匿名批量验证

BIG DATA ANONYMOUS BATCH VERIFICATION OF 5G VEHICLE NETWORK POWER INJECTION

为了解决5G车载网络电力注入系统在确保数据安全性和隐私保护时产生更高计算开销和传输开销的问题,提出一种基于超高效无证书聚合签名(Certificateless aggregate signature,CL-AS)算法的5G车载网络电力注入的大数据匿名批量验证方法。基于椭圆曲线密码体制设计超高效的CL-AS算法来解决证书管理问题和较高的系统开销,引入不依赖签名数量仅需验证者执行两个标量乘法运算的批量验证方法来加快验证速度和提高效率。实验表明,该方法在计算开销和通信开销方面性能均优于现有方法。

To solve the problem of higher computation overhead and transmission overhead in 5G vehicle network power injection system in order to ensure data security and privacy protection,a big data anonymous batch verification method of 5G vehicle network power injection based on ultra-efficient certificateless aggregate signature(CL-AS)algorithm is proposed.Based on elliptic curve cryptosystem,an ultra-efficient CL-AS algorithm was designed to solve the certificate management problem and high system overhead.A batch verification method which does not depend on the number of signatures and only needs to verify the execution of two scalar multiplication operations was introduced to speed up the verification and improve the efficiency.Experiments show that this method is superior to the existing methods performance in computational overhead and transmission overhead.