用细胞神经网络与无限折叠映射对图像加密  

A Scheme on Image Encryption Based on Dimensional Chaotic System

作　　者：武剀 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：《哈尔滨理工大学学报》2015年第3期30-34,共5页Journal of Harbin University of Science and Technology

基　　金：国家自然科学基金(11461063);国家社会科学基金(14BT5021);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：针对图像在传输中的安全隐患问题,依据混沌理论,采用六维细胞神经网络与无限折叠映射混沌系统相结合的方法,对数字图像进行加密.实验结果表明:加密后的图像统计特性不明显,相邻像素间的相关性小,抗攻击性强,安全保密性高,借助混沌序列随机性强和多维细胞神经网络可以加大密钥空间的特点,实现了图像的有效加密.According to the safety problems in the transmission of images, the paper is based on the chaotic theory, using the method of six dimensional cellular neural networks and infinite folding map chaotic system to real- ize digital image encryption. The experimental results show that the statistical characteristic of the image encryption is not obvious, the correlation between adjacent pixels is small, and it has strong attack resistance and high securi- ty. We can enlarge the key space of chaotic sequence by the characteristics of strong randomness and multidimen- sional cellular neural network to realize the effective image encryption.

关 键 词：混沌 细胞神经网络 无限折叠映射 图像加密 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]