摘要
混沌神经网络序列具有带宽大、难于预测和重构等特点,因而非常适用于网络通信和数据加密。本文提出一种四维混沌神经网络序列的产生方法,利用四维混沌神经网络进行混合加密,所产生的二值序列对明文进行预处理。实验结果表明,该系统对产生的二值序列,具有良好的初值敏感度,序列随机性较为理想,同时,四维混沌神经网络大大增加了密钥空间,利用此二值序列加密,能有效抵抗系统识别攻击,且加密效果良好,密钥空间大,非常适用于数据加密算法。
Chaotic neural network series is very suitable for network communication and data encryption with the merits that it is broad bandwidth,unpredictable and reconfigurable.In this paper,a stream cryptographic algorithm based on 4-D chaostic neural network is proposed,which preprocesses the plaintext using the binary sequences.The experimental results show that the system to produce binary sequences,with good initial value sensitivity,sequence randomness ideal,and at the same time,4-dimensional chaotic cellular neural networks,significantly increased the key space,using the binary sequences encryption,and can effectively resist system identification attack,and good effectiveness,key encryption large space,very suitable for data encryption algorithm.
出处
《电子测试》
2011年第4期19-22,98,共5页
Electronic Test
关键词
混沌系统
混沌神经网络
加密
Chaotic System
Chaotic neural network
encryption
