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MILP-aided bit-based division property for primitives with non-bit-permutation linear layers

机译:具有非位置换线性层的图元的MILP辅助基于位的划分属性

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摘要

In this study, the authors settle the feasibility of mixed integer linear programming (MILP)-aided bit-based division property for ciphers with non-bit-permutation linear layers. First, they transform the complicated linear layers to their primitive representations. Then, the original Copy and exclusive OR models are generalised, and these models are exploited to depict the primitive representations. Accord- ingly, the MILP-aided bit-based division property can be applied to much more primitives with complicated linear layers. As an illus- tration, they rst evaluate the bit-based division properties of some word-oriented block ciphers. For Midori64, they obtain a 7-round integral distinguisher, which achieves one more round than the previous results. At the same time, the data requirements of some existing distinguishers are also reduced. They decrease the data complexities of 4-round and 5-round distinguishers for LED and Joltik-BC by half. Then, the bit-based division properties of some bit-oriented ciphers such as Serpent and Noekeon are considered. The data complexities of their distinguishers for short rounds are reduced. Besides, they evaluate the bit-based division properties of the internal permutations in some hash functions. An 18-round zero-sum distinguisher for SPONGENT-88 is proposed, which achieves four more rounds than the previous ones. Some integral distinguishers for PHOTON permutations are improved.
机译:在这项研究中,作者们解决了混合整数线性规划(MILP)辅助基于位的除法用于具有非位置换线性层的密码的可行性。首先,他们将复杂的线性层转换为其原始表示。然后,对原始Copy和Exclusive OR模型进行了概括,并利用这些模型来描述原始表示。因此,可以将MILP辅助的基于位的分割属性应用于具有复杂线性层的更多图元。作为说明,他们首先评估了一些面向单词的分组密码的基于位的划分特性。对于Midori64,他们获得了7轮积分器,比以前的结果多了一轮。同时,一些现有识别器的数据需求也降低了。它们将LED和Joltik-BC的4轮和5轮识别器的数据复杂度降低了一半。然后,考虑了诸如Serpent和Noekeon之类的一些面向位的密码的基于位的划分特性。短轮识别器的数据复杂度降低了。此外,他们评估一些哈希函数中内部置换的基于位的除法属性。提出了一种用于SPONGENT-88的18轮零和识别器,它比以前的轮数多了四轮。改进了一些用于PHOTON排列的整体区分符。

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