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Improved Zero-Knowledge Proofs of Knowledge for the ISIS Problem, and Applications

机译:改进了ISIS问题的零知识证明,以及应用程序

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In all existing efficient proofs of knowledge of a solution to the infinity norm Inhomogeneous Small Integer Solution (ISIS~∞) problem, the knowledge extractor outputs a solution vector that is only guaranteed to be ?(n) times longer than the witness possessed by the prover. As a consequence, in many cryptographic schemes that use these proof systems as building blocks, there exists a gap between the hardness of solving the underlying ISIS~∞ problem and the hardness underlying the security reductions. In this paper, we generalize Stern’s protocol to obtain two statistical zero-knowledge proofs of knowledge for the ISIS~∞ problem that remove this gap. Our result yields the potential of relying on weaker security assumptions for various lattice-based cryptographic constructions. As applications of our proof system, we introduce a concurrently secure identity-based identification scheme based on the worstcase hardness of the SIVP _(ō(n~(1.5))) problem (in the ?_2 norm) in general lattices in the random oracle model, and an efficient statistical zeroknowledge proof of plaintext knowledge with small constant gap factor for Regev’s encryption scheme.
机译:在所有现有的高效知识证明对Infinity符号不均匀的小整数解决方案(ISIS〜∞)问题中,知识提取器输出一个解决方案载体,该解决方案载体仅保证(n)时间长于所拥有的证人的时间箴言。因此,在许多使用这些证明系统作为构建块的加密方案中,解决了底层ISIS〜∞问题的硬度与安全减少的硬度之间存在间隙。在本文中,我们概括了斯特恩的协议,以获得isis〜∞问题的两个统计零知识证据,以删除这种差距。我们的结果产生了依赖于各种基于格子的加密结构的安全假设的潜力。作为我们证明系统的应用,我们基于SIVP _(ō(n〜(1.5)))问题(在_2常数)中的最严格的硬度,介绍了基于基于身份的基于身份的识别方案。 Oracle模型,以及具有REGEV加密方案的小恒定间隙因素的明文知识的有效统计Zeroknowledge。

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