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    标准模型下证明安全的可追踪属性基净化签名方案

    Provably Secure Traceable Attribute-Based Sanitizable Signature Scheme in the Standard Model

    • 摘要: 自从属性基签名(attribute-based signature, ABS)的概念被提出后,ABS因其匿名性特征而受到广泛关注.ABS可以隐藏签名者的真实身份从而保护用户隐私,但其匿名性可能导致签名者滥用签名而无法进行追踪.同时在特定的应用场景,如在电子医疗或电子商务中需要保护一些敏感信息(如医疗技术、转账细节等)防止客户隐私信息泄露.为了解决数据传输中的敏感信息隐藏以及签名者滥用签名问题,提出了一种可追踪身份的属性基净化签名方案.方案的安全性在标准模型下规约于Computational Diffie-Hellman(CDH)困难问题假设.提出的方案不仅解决了敏感信息隐藏,保证了签名者的隐私,而且防止了签名者对签名的滥用.

       

      Abstract: Since the concept of Attribute-Based Signature(ABS) was proposed, it has attracted wide attention due to its anonymity. ABS can hide the identity of signers to support anonymity, but anonymity may enable malicious signers to abuse signatures if the signatures are not traceable. At the same time, in specific application scenarios, such as e-medical treatment or e-commerce, some personal data(e.g. medical records, trade-transfer details, etc.) should be protected to prevent the leakage of private information. In order to hide sensitive information in data transmission and prevent malicious signers from abusing signatures, a traceable attribute-based sanitizable signature scheme is proposed. The security of the scheme is reduced to the Computational Diffie-Hellman(CDH) hard problem in the standard model. The scheme not only solves the problem of sensitive information hiding, guarantees the privacy of the signer, but also prevents the signer from abusing the signature.

       

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