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A DETAIL STUDY OF CRYPTANALYSIS FOR KNAPSACK CIPHER WITH CBC USING GENETIC ALGORITHM

机译:CBC使用遗传算法对背包密码分析的详细研究

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With the exponential growth of networked systems and applications such as eCommerce, the demand for effective internet security is increasing. Cryptography is an indispensable component of much modern-day system security. The Merkle-Hellman's Knapsack Cipher Algorithm represents the Public key cryptosystem. This paper describes application of Genetic algorithms in the cryptanalysis of Knapsack ciphers that was suggested by Richard Spillman. Our study contains a detailed analysis of genetic algorithm for solving knapsack ciphers of any reasonable. This analyzes the proposed fitness function to Genetic Algorithm with Hamming distance. The Hamming Distance gives the correlation between a proposed solution and known solution that will increase the efficiency of Genetic Algorithm, Our venture makes an effort to increase the strength of the Knapsack Cipher Algorithm using Cipher block chaining mode (CBC) technique; thus making the Genetic algorithm attack & other previous attacks on Knapsack cipher unsuccessful.
机译:随着网络系统和电子商务等应用的指数增长,对有效互联网安全的需求正在增加。加密是现代系统安全的不可或缺的组成部分。 Merkle-Hellman的背包密码算法代表公钥密码系统。本文介绍了Richard Spillman建议的Knapsack Cipers密码分析中的遗传算法的应用。我们的研究含有关于求解任何合理的背包密码的遗传算法的详细分析。这分析了用汉明距离的遗传算法来分析所提出的健身功能。汉明距离提供了提出的解决方案与已知解决方案之间的相关性,这将提高遗传算法的效率,我们的企业努力使用密码块链式(CBC)技术来提高背包密码算法的强度;从而使遗传算法攻击与对背包密码不成功的其他攻击。

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