基于细胞神经网络的图像加密新算法

A New Algorithm for Image Encryption Based on Cellular Neural Networks

针对图像传输的安全问题,提出一种基于六维细胞神经网络的图像加密新算法。该算法利用高维细胞神经网络系统的混沌特性,并运用置乱-扩散机制,置乱阶段采用循环位移算法,扩散阶段采用基于GF(2^(4))域的算法,改变图像的像素位置及像素值,从而完成加密。对于密钥的生成,该算法采取密钥随机制,对明文图像进行分块,通过选取不同明文块并计算其像素值之和,去动态更新密钥,达到每次加密都生成不同密钥的效果,实现密钥与明文相关联。实验仿真结果表明该算法密钥空间大,同时且具有较高的密钥敏感性,可以有效的抵抗统计攻击,具有良好的安全性与可行性。

A new image encryption algorithm based on a six-dimensional cellular neural network is proposed to address the security issues of image transmission.This algorithm utilizes the chaotic characteristics of high-dimensional cellular neural network systems and utilizes a scrambling diffusion mechanism.The scrambling stage uses a cyclic displacement algorithm,while the diffusion stage uses GF(2^(4))domain based algorithm to change the pixel position and value of the image,thus completing encryption.For the generation of keys,this algorithm adopts a key randomization system,blocks the plaintext image and dynamically updates the key by selecting different plaintext blocks and calculates the sum of their pixel values,to achieve the effect of one-secret at a time and associating keys with plaintext.The experimental simulation results show that the algorithm has a large key space and high key sensitivity,can effectively resist statistical attacks,and has good security and feasibility.