赵国敏, 李国东. 基于广义Henon映射以及CNN超混沌系统图像加密方案[J]. 信阳师范学院学报(自然科学版), 2015, 28(1): 141-145. DOI: 10.3969/j.issn.1003-0972.2015.01.034
引用本文: 赵国敏, 李国东. 基于广义Henon映射以及CNN超混沌系统图像加密方案[J]. 信阳师范学院学报(自然科学版), 2015, 28(1): 141-145. DOI: 10.3969/j.issn.1003-0972.2015.01.034
Zhao Guomin , Li Guodong . A Scheme on Image Encryption Based on Generalized Henon Mapping and CNN Hyper Chaotic System[J]. Journal of Xinyang Normal University (Natural Science Edition), 2015, 28(1): 141-145. DOI: 10.3969/j.issn.1003-0972.2015.01.034
Citation: Zhao Guomin , Li Guodong . A Scheme on Image Encryption Based on Generalized Henon Mapping and CNN Hyper Chaotic System[J]. Journal of Xinyang Normal University (Natural Science Edition), 2015, 28(1): 141-145. DOI: 10.3969/j.issn.1003-0972.2015.01.034

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

  • 摘要: 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

     

    Abstract: Image encryption scheme was designed based on the hyper chaos of generalized five order Henon mapping 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 another 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

     

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