【摘要】 人工神经网络具有实现快速并行运算又有混沌动力学复杂行为时,它将是用来设计一种加密算法的最佳选择。通过分析混沌神经网络的复杂动力学行为和并行处理特点,提出了基于神经网络的AES混沌加密算法,克服了传统AES算法中由于密钥唯一造成的安全性较低的特点,提高了AES算法的安全性。更多还原

【Abstract】 When neural network with fast parallel computing and complex behavior of chaotic dynamics,it is one of the best choice for designing encryption algorithm.With chaotic neural network by analyzing the complex dynamic behavior and the characteristics of parallel processing,neural network-based chaotic encryption algorithm AES is presented,which can help AES algorithm to overcome the traditional key only because of security caused by the characteristics of lower and raise the AES security algorithm.更多还原