基于细胞神经网络混沌特性的图像加密技术应用研究  

On Application of Image Encryption Technology Based on Chaotic of Cellular Neural Network

作　　者：赵国敏[1] 李国东[1] 

机构地区：[1]新疆财经大学应用数学学院,新疆乌鲁木齐830012

出　　处：《绵阳师范学院学报》2014年第2期92-97,共6页Journal of Mianyang Teachers＇ College

基　　金：国家教育部人文社会科学基金(13YJAZH040);新疆维吾尔自治区高校科研计划项目(XJEDU2013I26)

摘　　要：基于细胞神经网络(Cellular Neural Networks)的数字图像加密算法,利用细胞神经网络独有特性,构造一个五维的混沌序列作为秘钥源,在此基础上利用Logistic混沌序列图像像素置乱算法,从而实现对图像加密.编程模拟仿真实验表明,加密图像置乱度高,相邻像素的相关性小,抗攻击性强,安全性更高.最后对明文和密文进行相关性分析,从理论上验证了该加密算法的可靠性.This paper gives a brief introduction of the basic knowledge of Cellular Neural Networks and proposes an image encryption algorithm based on Cellular Neural. The algorithm is based on the unique characteristics of Cellular Neural Networks by using a chaotic system of 5 - D CNN as the key source. On this basis, this chapter puts forward an image pixel scrambling algorithm based on Logistic chaotic sequence, which realize the image encryption. In this paper, encryption algorithms are programmed and stimulated. The result shows that encryption image is the characters of higher pixel scrambling degree, small correlation between adjacent pixels, strong anti attack, higher security.

关 键 词：细胞神经网络 混沌系统 图像加密 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]