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

机译:改进了面向位块CIPHER及其应用的自动搜索工具

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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:基于混合整数线性编程(MILP)的工具简单且有效地用于在最近搜索某些不同类型的区别。在本文中,我们主要关注使用MILP的自动搜索方法,以及用于面向位的块密码的优化器Gurobi。我们介绍了OPB文件格式,为面向位的块密码构建MILP模型。与LP文件格式相比,它更简洁,适合处理布尔变量。并且我们通过设置优化器Gurobi提供的参数MIP焦点来修改高级策略以减少解决方案时间。此外,给出了模块化添加的差分模式传播的新简单线性不等式,而不考虑不可能差动搜索中的差分概率。作为应用程序,我们在相关关键模型中提供5〜12轮Lblock的差分活动S箱数的确切下限,并且所有不可能的差异限制了完整版本的输入和输出差异仅为1个活动位斑点。

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