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Stream Cipher Generation Method Based on Particle Gradient Multi-objective Evolutionary Algorithm

机译:基于粒子梯度多目标进化算法的流密码生成方法

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Multi Objective Evolutionary Algorithm (MOEA) has been used to design a high safe and high efficiency cryptosystem. Because stream cipher cryptosystem makes itself can not be decrypted theoretically, a large majority of sequence cipher cryptosystem use a short key to produce a key sequence with the same period. But the key sequence produced above seldom has good randomness and is unsafe frequently. This paper proposes an improved approach Stream Cipher Generation Method based on Particle Gradient Multi-Objective Evolutionary Algorithm (PGEASCG) to produce a key sequence with good randomness and reliability. Simulation results clearly illustrate that the proposed approach is very efficient and could easily get the optimal key sequence.
机译:多目标进化算法(MOEA)已被用来设计一个高安全性和高效率的密码系统。由于流密码密码系统使其理论上无法解密,因此大多数序列密码密码系统都使用短密钥来生成具有相同周期的密钥序列。但是上面产生的密钥序列很少具有良好的随机性,并且经常是不安全的。提出一种改进的基于粒子梯度多目标进化算法(PGEASCG)的流密码生成方法,以产生具有良好随机性和可靠性的密钥序列。仿真结果清楚地表明,该方法非常有效,可以轻松获得最佳密钥序列。

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