基于广义Henon映射以及CNN超混沌系统图像加密方案

A Scheme on Image Encryption Based on Generalized Henon Mapping and CNN Hyper Chaotic System

基于广义五阶Henon映射以及五阶细胞神经网络系统所产生的超混沌现象,设计了图像加密方案.首先利用五阶Henon映射产生超混沌序列X,将其作为细胞神经网络系统的初始条件,再产生另一超混沌序列Y,随机序列Y和原始图像经过变换生成密文图像.在此基础上进行了模拟仿真实验,并对图像密文熵、相关性和直方图以及密钥空间和敏感性等统计特性进行分析,结果表明:该算法图像加密抗攻击性强,安全性好,适于在网络中传播.

Image encryption scheme was designed based on the hyper chaos of generalized five order Henon map -ping and five order Cellular Neural Network system .Firstly, the chaotic sequence X , which was regarded as the initial conditions of Cellular Neural Network system , was generated by the five order generalized Henon mapping .Then anoth-er chaotic sequence Y was produced by CNN system .Then, the cipher image was generated by the transformation of random sequence Y and the original image .Finally, the simulation experiments and results showed that the algorithm of image encryption had strong attack resistance , good safety , and was suitable to spread in the network through analyzing the statistical characteristics of timage information entropy , correlation and histogram as well as the key space and the sensitivity.