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Simulation-Sound Arguments for LWE and Applications to KDM-CCA2 Security

机译:LWE和应用于KDM-CCA2安全性的仿真 - 声音参数

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The Naor-Yung paradigm is a well-known technique that constructs IND-CCA2-secure encryption schemes by means of non-interactive zero-knowledge proofs satisfying a notion of simulation-soundness. Until recently, it was an open problem to instantiate it under the sole Learning-With-Errors (LWE) assumption without relying on random oracles. While the recent results of Canetti et al. (STOCT9) and Peikert-Shiehian (CryptoT9) provide a solution to this problem by applying the Fiat-Shamir transform in the standard model, the resulting constructions are extremely inefficient as they proceed via a reduction to an NP-complete problem. In this paper, we give a direct, non-generic method for instantiating Naor-Yung under the LWE assumption outside the random oracle model. Specifically, we give a direct construction of an unbounded simulation-sound NIZK argument system which, for carefully chosen parameters, makes it possible to express the equality of plaintexts encrypted under different keys in Regev's cryptosystem. We also give a variant of our argument that provides tight security. As an application, we obtain an LWE-based public-key encryption scheme for which we can prove (tight) key-dependent message security under chosen-ciphertext attacks in the standard model.
机译:Naor-yung范式是一种众所周知的技术,通过满足模拟 - 声音概念的非交互式零知识证据构建Ind-CCA2 - 安全加密方案。直到最近,它是一个公开的问题,可以在唯一的学习 - 错误(LWE)假设下实例化,而不依赖于随机的oracles。虽然最近Canetti等的结果。 (STOCT9)和Peikert-Shiehian(Cryptot9)通过在标准模型中应用FIAT-Shamir变换来提供解决这个问题的解决方案,因此通过减少到NP完全问题,所得到的结构非常低效率。在本文中,我们为在随机甲骨文模型之外的LWE假设下实例化Naor-yung的直接,非通用方法。具体而言,我们直接构建无界面的仿真声音Nizk参数系统,用于精心挑选的参数,可以表达在Regev的密码系统中的不同键下加密的明文的平等。我们还提供了我们的论点的变体,可以提供紧张的安全性。作为应用程序,我们获得了基于LWE的公钥加密方案,我们可以在标准模型中的Chosen-CipherText攻击下证明(紧密)依赖于依赖的消息安全性。

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