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一种基于混沌神经网络的序列密码算法
引用本文:韦玉轩,韦鹏程,张伟. 一种基于混沌神经网络的序列密码算法[J]. 计算机科学, 2006, 33(7): 145-146
作者姓名:韦玉轩  韦鹏程  张伟
作者单位:广西建设职业技术学院,南宁530003;重庆教育学院计算机与现代教育技术系,重庆400067
基金项目:重庆市教委资助项目;重庆教育学院校科研和教改项目
摘    要:混沌序列具有带宽大、类噪声、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。本文结合神经网络和混沌映射的特点,提出了一种基于混沌神经网络和混沌映射序列密码的设计方法,该方法可以克服有限精度效应对混沌系统的影响,从而改善混沌序列特性,理论和实验结果表明:在有限精度实现下,该方法可以有效提高混沌系统的复杂性和随机性,并且算法安全性高、运算速度快,并且便于软硬件的实现。

关 键 词:序列密码  混沌序列  混沌神经网络  混沌映射

A Stream Cryptographic Algorithm Based on Chaotic Neural Network
WEI Yu-Xuan,WEI Peng-Cheng,ZHANG Wei. A Stream Cryptographic Algorithm Based on Chaotic Neural Network[J]. Computer Science, 2006, 33(7): 145-146
Authors:WEI Yu-Xuan  WEI Peng-Cheng  ZHANG Wei
Affiliation:1.Guangxi Polytechnic College of Construction, Nanning 530003;2.Department of Computer and Modern Education Technology, Chongqing Education College,Chongqing 400067
Abstract:As we all know, chaotic system is sensitive to initial values and system parameters, so it is suitable for information encryption. In this paper, a stream cryptographic algorithm based on chaotic neural network is proposed, this scheme can improve the complexity and the period of the chaotic system under the finite-precision circumstances. The theoretic and simulation show that the new approach not only owns high complexity, good randomness properties , but also has high security and implemented easily in both software and hardware.
Keywords:Stream cipher  Chaotic sequences  Chaotic neural network  Chaotic map
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