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An Efficient Fuzzy Identity-Based Signature Scheme without Bilinear Pairings

机译:无双线性配对的高效基于模糊身份的签名方案

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Biometric-based signature is an emerging cryptographic primitive that allows a user with a biometric identity to produce a signature that can be verified successfully using another biometric identity if both biometric identities are within a predefined distance metric. Fuzzy identity-based signature is of particular value for biometric authentication, where biometric identifiers such as fingerprints, iris and voice are used in human identification. Unfortunately, constructions of fuzzy identity-based signature scheme so far are based on bilinear pairings that need costly operations. In this paper, we propose a new fuzzy identity-based signature scheme that does not depend on bilinear pairings. With both the running time and the size of the signature being saved greatly, our scheme is more practical than the previous related schemes for practical application. The proposed fuzzy identity-based signature scheme is proved to be existential unforgeability against adaptively chosen message attack under the standard discrete logarithm assumption in the selective-set model.
机译:基于生物特征的签名是一种新兴的加密原语,如果两个生物特征都在预定义的距离度量之内,则允许具有生物特征的用户生成可以使用另一个生物特征成功验证的签名。基于模糊身份的签名在生物识别中具有特殊价值,其中指纹,虹膜和语音等生物识别符用于人类识别。不幸的是,到目前为止,基于模糊身份的签名方案的构建是基于需要昂贵操作的双线性对。在本文中,我们提出了一种新的基于模糊身份的签名方案,该方案不依赖于双线性配对。在节省运行时间和签名大小的同时,我们的方案比以前的实际应用方案更加实用。在选择集模型中,在标准离散对数假设下,所提出的基于模糊身份的签名方案被证明是针对自适应选择的消息攻击的存在不可伪造性。

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