Soft Computing and Dynamic Tunneling Paradigms in Network Security Attacks

N. Nalini, R. Raghavendra
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Abstract

Most cryptanalysis problems are characterised by a feature having one global optimum solution and several local minima, when formulated as an optimisation problem. Among the several heuristic techniques adopted to solve such optimisation problems, it is noticed that a genetic algorithm gets trapped at a local minimum solution. Dynamic tunneling technique has been recently used for obtaining global optimum solution for several problems. Motivated by this fact, we adopt a hybrid version of genetic algorithm and dynamic tunneling technique for the cryptanalysis of a popular stream cipher SEAL (software encryption algorithm). The concepts developed in the paper are useful in the cryptanalysis of block and stream ciphers.
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网络安全攻击中的软计算和动态隧道范式
当将大多数密码分析问题表述为优化问题时,其特征是具有一个全局最优解和几个局部最小值。在用于解决此类优化问题的几种启发式技术中,注意到遗传算法被困在局部最小解上。近年来,动态掘进技术已被用于求解若干问题的全局最优解。基于此,我们采用遗传算法和动态隧道技术的混合版本对一种流行的流密码SEAL(软件加密算法)进行密码分析。本文提出的概念对分组和流密码的密码分析是有用的。
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