标准模型下增强的基于身份部分盲签名

发布时间：2018-01-06 09:17

本文关键词：标准模型下增强的基于身份部分盲签名　出处：《四川大学学报(工程科学版)》2014年01期 　论文类型：期刊论文

【摘要】：标准模型(无随机预言)将密码算法规约为求解困难数学问题。研究了一种标准模型下的身份部分盲签名,指出其不能防止签名请求者篡改公共信息。提出一种增强的身份部分盲签名机制,从两方面改进了原有方案:一方面,采用隐式签名防止参与者篡改公共信息;另一方面,去除了额外的附加协议。参照Paterson等的标准签名模型,定义了部分盲签名的标准安全模型。增强方案在标准模型下被规约为求解椭圆曲线上的CDH(computational Diffie-Hellman)难题,被证明满足不可伪造性和部分盲性。对比分析表明,新方案在增强安全性的同时具有更低的计算开销和算法开销,可用于构建安全的电子现金或电子投票等协议。
[Abstract]:The standard model (without random prophecy) approximates the code of cryptographic calculation to solve the difficult mathematical problem. This paper studies a blind signature of identity part under the standard model. It is pointed out that it cannot prevent the signer from tampering with public information. An enhanced partially blind identity signature scheme is proposed, which improves the original scheme from two aspects: on the one hand, implicit signature is used to prevent participants from tampering with public information; On the other hand, the additional additional protocols are removed. Refer to the standard signature model of Paterson et al. In this paper, a standard security model for partially blind signature is defined. Under the standard model, the enhancement scheme is reduced to solve the CDH on the elliptic curve. Computational Diffie-Hellman. It has been proved to satisfy the unforgeability and partial blindness. The comparative analysis shows that the new scheme not only enhances the security but also has lower computational and algorithm overhead. Can be used to build secure e-cash or e-voting protocols.
【作者单位】：河南城建学院计算机科学与工程学院;宜春学院数学与计算机科学学院;重庆大学计算机学院;
【基金】：国家自然科学基金资助项目(90818028)
【分类号】：TN918.912
【正文快照】： 盲签名[1]区别于普通数字签名,签名者不知道他所签发文件的内容,且不能将签名过程与签名结果对应起来,这种特性称为盲性。盲签名被广泛应用于具有匿名性要求的领域(如电子支付或电子投票等)。在完全盲签名中,签名者不知道最终签名的任何信息,这样的签名系统是不完善的,可能造

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