Cryptanalysis of Four-Rounded DES Using Ant Colony Optimization

Salabat Khan, W. Shahzad, F. A. Khan
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引用次数: 17

Abstract

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.
基于蚁群优化的四角DES密码分析
由于非斯特尔密码具有高非线性和低自相关的固有结构,使得密码分析人员难以应用传统技术和暴力攻击来破解非斯特尔密码。本文提出了一种基于二元蚁群优化(BACO)的四舍五入数据加密标准(DES)密码分析技术。使用已知的明文攻击来恢复DES密码的秘密密钥。蚂蚁的环境是一个有向图,我们称之为搜索空间,它是为了有效地搜索密钥而构造的。我们还开发了一个启发式函数来度量构造解决方案的质量。在蚁群完成的路径基础上,计算出不同运行的几个最优键。然后使用这些最佳密钥来查找DES使用的56位密钥的每个单独位。我们的实验结果表明,ACO是一种有效的四舍五入DES密码分析技术。据我们所知,这是BACO首次用于此特定问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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