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Improved Automatic Search Tool for Bit-Oriented Block Ciphers and Its Applications

机译:改进的面向位块密码的自动搜索工具及其应用

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The tool based on Mixed-integer Linear Programming (MILP) is simple and effective that frequently used in searching some different types of distinguishers recently. In this paper, we mainly focus on the automatic search method using MILP and the optimizer Gurobi for bit-oriented block ciphers. We introduce the OPB file format to construct MILP models for the bit-oriented block ciphers. Compared to the LP file format, it is more concise and suitable to deal with boolean variables. And we modify the high-level strategy to reduce the solution time by setting parameter MIP-Focus provided by the optimizer Gurobi. Moreover, the new simple linear inequalities of differential pattern propagation of modular addition are given without considering the differential probability in the impossible differential search. As applications, we give the exact lower bounds of the number of differential active s-boxes for 5~12 rounds LBlock in the related-key model and all of impossible differentials limited the input and output differences to only 1 active bit for the full versions of SPECK.
机译:基于混合整数线性规划(MILP)的工具简单有效,是最近在搜索某些不同类型的区分符中经常使用的工具。在本文中,我们主要关注针对位定向分组密码的使用MILP和优化器Gurobi的自动搜索方法。我们引入OPB文件格式来构造面向位的块密码的MILP模型。与LP文件格式相比,它更简洁并且更适合处理布尔变量。然后,我们通过设置优化器Gurobi提供的参数MIP-Focus来修改高级策略,以减少求解时间。此外,给出了模加的差分模式传播的新的简单线性不等式,而没有考虑不可能的差分搜索中的差分概率。作为应用程序,我们给出了相关密钥模型中5〜12轮LBlock的差分活动s盒数量的确切下限,所有不可能的差分将完整版本的输入和输出差异限制为只有1个活动位SPECK。

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