基于SM2的可截取签名方案

SM2-based Content Extraction Signature Scheme

数字签名是公钥密码体制的重要应用部分,可截取数字签名解决了签名的持有者在不与原始签名人交互的情况下,根据自身要求就可以对已签名的数据进行合理的截取操作.将SM2数字签名算法与可截取签名算法相结合,提出一种新的基于椭圆曲线离散对数的可截取签名方案.并在随机预言机模型下对该方案的安全性进行分析,该方案满足不可伪造性、隐私性以及可审计性,即使是不诚实的截取者也无法对签名结果进行抵赖.性能分析表明,该方案通过标量乘法使算法效率得到提升.

Digital signature is an important application part of public key cryptosystem.Content extraction signatures can solve the problem that the signature holder can intercept the signed data reasonably according to their own needs without interacting with the original signer.Combining SM2 digital signature algorithm with content extraction signatures algorithm,a new content extraction signature scheme based on discrete logarithm of elliptic curve is proposed.The security of the scheme is analyzed under the stochastic predictive machine model.The scheme satisfies the unforgerability,privacy and auditability,and even the dishonest interceptor cannot deny the signature result.Performance analysis shows that the algorithm efficiency is improved by scalar multiplication.