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Universal designated verifier transitive signatures for graph-based big data

机译:基于图的大数据的通用指定验证者传递签名

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摘要

In this paper, we propose a new type of digital signatures which is specifically designed for graph-based big data system. The properties of the proposed signatures are twofold. On one side it possesses the features of transitive signatures: One can sign a graph in such a way that, given two signatures on adjacent edges (i,j) and (j, k), anyone with public information can compute a signature on edge (i, k). The efficiency advancement (0(1) communication overhead) in transitive signatures is especially important in big data paradigm. On the other side, it is universal designated verifiable: It allows any signature holder to prove to a designated verifier that a message has been signed by the signer, but the verifier cannot convince (even sharing all secret information) any other third party of this fact. The new notion is called Universal Designated Verifier Transitive Signatures (UDVTS for short). As an integration of transitive signatures and universal designated verifier signatures, UDVTS can efficiently address privacy issues associated with dissemination of transitive signatures of graph-based big data. We further prove that our proposed design is secure in the random oracle model. (C) 2015 Elsevier Inc. All rights reserved.
机译:在本文中,我们提出了一种新型的数字签名,它是专门为基于图形的大数据系统设计的。提议的签名的属性是双重的。一方面,它具有传递签名的特征:可以通过以下方式对图形进行签名:给定相邻边缘(i,j)和(j,k)上的两个签名,任何拥有公共信息的人都可以在边缘上计算签名(我知道)。传递签名中的效率提升(0(1)通信开销)在大数据范例中尤其重要。另一方面,它是通用的指定可验证的:它允许任何签名持有人向指定的验证者证明消息已由签名者签名,但是验证者无法说服(甚至共享所有秘密信息)任何其他第三方对此进行验证。事实。新概念称为通用指定验证者传递签名(UDVTS)。作为传递签名和通用指定验证者签名的集成,UDVTS可以有效地解决与基于图形的大数据的传递签名的传播有关的隐私问题。我们进一步证明了我们提出的设计在随机预言模型中是安全的。 (C)2015 Elsevier Inc.保留所有权利。

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