在基于ID的无证书签名方案的基础上,通过模糊提取器获取生物特征信息来构造密钥,结合CL.PKC私钥生成原理,提出了一种基于生物特征的无证书签名方案.新方案在随机预言模型下是可证安全的,而且能够抵抗适应性选择消息攻击和ID攻击下的存在性伪造.该方案不仅解决了密钥托管问题而且与传统的方案相比具有较高的效率.
Using the CL-PKC private key generation theory, combined with fuzzy extraction algorithm, the thesis presents a signature scheme based on biometric security key which can be proved secure in the random model. This new scheme can resist adaptive attacks and the existing forgery attack, which not only solve the key escrow problem but show high efficiency compared with the traditional ones.