基于多混沌系统的图像加密算法  

Image encryption algorithm based on multiple chaotic systems

作　　者：奚新宝 谢淑翠 张建中[3] XI Xinbao;XIE Shucui;ZHANG Jianzhong(School of Communication and Information Engineering,Xi’an University of Posts&Telecommunications,Xi’an 710121,China;School of Science,Xi’an University of Posts&Telecommunications,Xi’an 710121,China;College of Mathematics and Information Science,Shaanxi Normal University,Xi’an 710061,China)

机构地区：[1]西安邮电大学通信与信息工程学院,陕西西安710121 [2]西安邮电大学理学院,陕西西安710121 [3]陕西师范大学数学与信息科学学院,陕西西安710061

出　　处：《传感器与微系统》2022年第9期140-143,155,共5页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(61802243);陕西自然科学基金资助项目(2015JM6263)。

摘　　要：为了提高图像加密算法的安全性,结合三维细胞神经网络(CNN)混沌系统与二维广义Arnold混沌映射对图像进行双重置乱,并利用分段线性混沌映射(PWLCM)产生Arnold混沌映射所需的控制参数,然后,将三维CNN混沌系统生成的伪随机序列用于像素扩散阶段,采用加取模和循环移位算法来改变双重置乱后图像的像素值,最终得到密文图像。仿真结果表明:该算法具有较高的安全性和实用价值。In order to improve the security of the image encryption algorithm, firstly, a three-dimensional cellular neural network(CNN)chaotic system is designed and combined with the two-dimensional generalized Arnold map to scramble the image twice, and piece wise linear chaotic mapping(PWLCM)is also introduced to generate the control parameters needed for generalized Arnold mapping for encryption.Secondly, the pseudo-random sequence generated by the three-dimensional CNN chaotic system is used in the pixel diffusion stage, modulus and cyclic shift are used to change the pixel value of the scrambled image, and finally the ciphertext image is obtained.Simulation results show that the algorithm has high security and practical value.

关 键 词：二维广义Arnold映射 三维细胞神经网络混沌系统 分段线性混沌映射 图像加密 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]