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Filtered Nonlinear Cryptanalysis of Reduced-Round Serpent, and the Wrong-Key Randomization Hypothesis

机译:圆蛇的滤波非线性密码分析和错误的随机假设

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We present a deterministic algorithm to find nonlinear S-box approximations, and a new nonlinear cryptanalytic technique; the "filtered" nonlinear attack, which achieves the lowest data complexity of any known-plaintext attack on reduced-round Serpent so far. We demonstrate that the Wrong-Key Randomization Hypothesis is not entirely valid for attacks on reduced-round Serpent which rely on linear cryptanalysis or a variant thereof, and survey the effects of this on existing attacks (including existing nonlinear attacks) on 11 and 12-round Serpent.
机译:我们提出一种确定性算法来找到非线性S盒近似值,以及一种新的非线性密码分析技术。 “过滤的”非线性攻击,迄今为止,对缩减后的“蛇”攻击,其已知的纯文本攻击的数据复杂度最低。我们证明了错误密钥随机假设并不完全适用于对依赖线性密码分析或其变体的缩减圆蛇的攻击,并调查了这种错误对现有攻击(包括现有的非线性攻击)在11和12-圆蛇。

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