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Non-full-active Super-Sbox Analysis: Applications to ECHO and Gr0stl

机译:非全主动超级SBOX分析:应用于回声和GR0STL的应用程序

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In this paper, we present non-full-active Super-Sbox analysis which can detect non-ideal properties of a class of AES-based permutations with a low complexity. We apply this framework to SHA-3 round-2 candidates ECHO and Grostl. The first application is for the full-round (8-round) ECHO permutation, which is a building block for 256-bit and 224-bit output sizes. By combining several observations specific to ECHO, our attack detects a non-ideal property with a time complexity of 2~(182) and 2~(37) amount of memory. The complexity, especially in terms of the product of time and memory, is drastically reduced from the previous best attack which required 2512 × 2512. Note that this result does not impact the security of the ECHO compression function nor the overall hash function. We also show that our method can detect non-ideal properties of the 8-round Grostl-256 permutation with a practical complexity, and finally show that our approach improves a semi-free-start collision attack on the 7-round Grostl-512 compression function. Our approach is based on a series of attacks on AES-based hash functions such as rebound attack and Super-Sbox analysis. The core idea is using a new differential path consisting of only non-full-active states.
机译:在本文中,我们提供了非全主动超级SBox分析,可以检测一类基于AES的置换的非理想性质,具有低复杂性。我们将此框架应用于SHA-3圆形2候选人回声和格罗斯特。第一个应用程序是用于全轮(8轮)回波置换,这是256位和224位输出大小的构建块。通过组合特定于回声的观察,我们的攻击检测非理想性质,时间复杂度为2〜(182)和2〜(37)的记忆量。复杂性,特别是在时间和内存的乘积方面,从前一个最佳攻击急剧下降,这需要2512×2512所需的最佳攻击。注意,该结果不会影响回波压缩函数的安全性,也不会影响整体哈希函数。我们还表明,我们的方法可以通过实际复杂性地检测8轮Grostl-256排列的非理想特性,最后表明我们的方法可以改善7轮Grostl-512压缩的半自动冲突攻击功能。我们的方法是基于一系列基于AES的哈希功能攻击,例如反弹攻击和超级SBox分析。核心思想使用的是仅由非全活动状态组成的新差分路径。

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