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Anonymous Fingerprinting as Secure as the Bilinear Diffie-Hellman Assumption

机译:像双线性Diffie-Hellman假设一样安全的匿名指纹

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The illegal copying and redistribution of digitally-stored information is a crucial problem to distributors who electronically sell digital data. Fingerprinting provides a means which a copyright owner can trace illegal redistributors of electronic information. Various fingerprinting schemes have appeared as techniques for copyright protection from symmetric fingerprinting by Boneh and Shaw, asymmetric fingerprinting by Pfitzmann and Schunter, and anonymous fingerprinting by Pfitzmann and Waidner. In most of previous schemes, the computational capability of clients has been assumed to roughly be equal to each other and even to their servers. In particular, the key size of known algorithms for fingerprinting schemes keeps back from their practical implementation. In this paper, we propose a scheme for anonymous fingerprinting based on the bilinear Diffie-Hellman problem and prove its security. Our scheme exhibits all computations are performed more efficiently than previous schemes and the key size is quite reasonable for practical use.
机译:数字存储信息的非法复制和重新分发对于电子销售数字数据的分发者来说是一个关键问题。指纹提供了一种版权所有者可以跟踪电子信息的非法再分发者的手段。各种指纹识别方案已作为保护版权的技术出现,包括Boneh和Shaw的对称指纹识别,Pfitzmann和Schunter的非对称指纹识别以及Pfitzmann和Waidner的匿名指纹识别。在大多数以前的方案中,已经假定客户端的计算能力大致彼此相等,甚至与它们的服务器相等。特别地,用于指纹识别方案的已知算法的密钥大小与它们的实际实现背道而驰。本文提出了一种基于双线性Diffie-Hellman问题的匿名指纹识别方案,并证明了其安全性。我们的方案显示,与以前的方案相比,所有计算的执行效率更高,并且密钥大小对于实际使用而言是相当合理的。

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