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Efficient Public Key Encryption Based on Ideal Lattices

机译:基于理想格子的高效公钥加密

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We describe public key encryption schemes with security provably based on the worst case hardness of the approximate Shortest Vector Problem in some structured lattices, called ideal lattices. Under the assumption that the latter is exponentially hard to solve even with a quantum computer, we achieve CPA-security against subexponential attacks, with (quasi-)optimal asymptotic performance: if n is the security parameter, both keys are of bit-length O{top}~(n) and the amortized costs of both encryption and decryption are O{top}~(1) per message bit. Our construction adapts the trapdoor one-way function of Gentry et al. (STOC'08), based on the Learning With Errors problem, to structured lattices. Our main technical tools are an adaptation of Ajtai's trapdoor key generation algorithm (ICALP'99) and a re-interpretation of Regev's quantum reduction between the Bounded Distance Decoding problem and sampling short lattice vectors.
机译:我们根据某些结构化格子中的近似最短向量问题的最坏情况,可提供安全性的公钥加密方案,称为理想格子。在假设后者难以解决即使使用量子计算机难以解决,我们也可以实现CPA-Security对子统计攻击,(准)最佳的渐近性能:如果n是安全参数,则两个键都具有位长度o {top}〜(n)和加密和解密的摊销成本是每条消息位的{top}〜(1)。我们的施工适应了Gentry等人的Trapdoor单向功能。 (STOC'08)基于使用错误问题的学习,对结构化的格子。我们的主要技术工具是Ajtai的Trapdoor密钥生成算法(ICalp'99)的适应以及Regev的额度距离解码问题与采样短格矢量之间的Regev的量子减少的重新解释。

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