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引用次数: 3

摘要

在信息安全日益重要的今天,加密是信息保护的一种基本机制。为了满足高水平的安全性,已经采用了不同的进化方法。遗传算法是一种基于自然选择的探索进化算法,它优化问题的解,避免对同一明文产生一种密文。因此,像密文攻击一样的攻击尝试即使不能完全消除,也会减少。本文将遗传算法作为一种进化算法应用于对称的加解密中,将代表明文的用户消息和用户秘密数据密钥通过替换函数的交叉和变异转换为密文。
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Evolutionary genetic algorithm for encryption
Encryption is a fundamental mechanism for protecting information since the significant of security is increasing nowadays. Different evolutionary methods have been adapted to satisfy high level of security. Genetic algorithm is an exploration and evolutionary algorithm which based on natural selection which optimizing problem solution and to be away from producing one ciphertext for the same plaintext. Therefore, the attempts of attack, as ciphertext attack, will be reduced if not eliminated. In this paper, GA as evolutionary algorithm will be employed in a symmetric encryption and decryption where the user's message which represents plaintext and user secret data, key, will be transferred into ciphertext by applying crossover and mutation beside substitution function.
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