一种支持隐私保护的高效提取签名方案
AN EFFICIENT SIGNATURE EXTRACTION SCHEME THAT SUPPORTS PRIVACY PROTECTION
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摘要: 针对已签名数据修改后无法验证、数据泄露和用户无法控制个人隐私信息等问题,提出一种支持隐私保护的高效提取签名方案。该方案实现了在没有交互情况下,数据拥有者在隐藏隐私信息后签名依然可验证是否有效,同时解决了传统提取签名任意第三方都可验证的问题。算法基于椭圆曲线上离散对数问题实现,将部分摘要值保存到区块链中,取消了双线性对运算,提高签名效率,并且证明该算法满足不可伪造性。通过安全性分析和性能分析,表明方案在数据安全性、隐私保护和算法效率等方面具有明显的优势。Abstract: A scheme for content extraction signature with support for verifiable modification is proposed to address the problems of unverifiable modification of signed data, data leakage and lack of user control over personal privacy information. The data can still be verified after the data owner hides part of the information in the absence of interaction, and solves the problem that traditional extracted signatures can be verified by any third party. The algorithm was implemented based on the discrete logarithm problem on elliptic curves, uploading part of the digest value to the blockchain, outlawing bilinear pair operations, improving signature efficiency, and demonstrating that the algorithm satisfies unforgeability. The security analysis and performance analysis show that the scheme has significant advantages in terms of data security, privacy protection and algorithmic efficiency.
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