基于CNN超混沌系统与扩展ZigZag的图像加密算法

摘要

针对数字图像在通信中的安全传输问题,提出一种基于CNN(Cellular Neural Network)超混沌系统与扩展ZigZag的图像加密算法.算法采用五阶离散CNN超混沌系统生成的混沌序列作为加密因子,在将数字图像作扩展ZigZag变换置乱后,根据MSB算法思想,将混沌序列与像素高位位平面进行运算,完成图像的加密.该算法具有密钥空间大、可迭代与图像普适性等特点,仿真实验表明该算法具有良好的加密效果,能够抵抗各种常见的攻击.%In order to deal with the problem of secure transmission of digital image in communication,an image encryption algorithm based on CNN hyper chaotic system and extended ZigZag transformation is proposed.It uses the chaotic sequence generated by 5-order discrete CNN hyper chaotic system as the encryption factor,after the digital image is scrambled by the extended ZigZag transformation,according to the idea of MSB algorithm,the image encryption is completed by the operation between the chaotic sequence and the high bit-plane of pixels.The algorithm has the following advantages:large key space,iterable and universality for all images.Simulation experiments show that the algorithm has good encryption performance and fine anti-attack capability.