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Cryptanalysis of Four-Rounded DES using Ant Colony Optimization

机译:使用蚁群优化四舍五入的四舍五入的密码分析

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It is hard for the cryptanalysts to apply traditional techniques and brute-force attacks against feistel ciphers due to their inherent structure based on high nonlinearity and low autocorrelation. In this paper, we propose a technique for the cryptanalysis of four-rounded Data Encryption Standard (DES) based on Binary Ant Colony Optimization (BACO). A known-plaintext attack is used to recover the secret key of the DES cipher. The environment for the ants is a directed graph, which we call search space, is constructed for efficiently searching the secret key. We also develop a heuristic function which measures the quality of a constructed solution. Several optimum keys are computed over different runs on the basis of routes completed by the ants. These optimum keys are then used to find each individual bit of the 56 bit secret key used by DES. The results of our experiments show that ACO is an effective technique for the cryptanalysis of four-rounded DES. To the best of our knowledge, this is the first time that BACO has been used for this specific problem.
机译:由于基于高非线性和低自相关的固有结构,密码分析仪难以应用于对Feistel密码的传统技术和暴力攻击。在本文中,我们提出了一种基于二元蚁群优化(Baco)的四轮数据加密标准(DES)的密码分析。已知的明文攻击用于恢复des密码的密钥。蚂蚁的环境是我们调用搜索空间的定向图,用于有效地搜索密钥。我们还开发了一种衡量构造解决方案的质量的启发式功能。在蚂蚁完成的路线的基础上计算出几个最佳键。然后使用这些最佳键来查找des使用的56位密钥的每个单独的位。我们的实验结果表明,ACO是一种有效的四舍五入的隐密码分析的技术。据我们所知,这是第一次获得这种特定问题的鲍瓦。

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