New image encryption algorithm based on cellular neural network
Yong-hong XIONG · Journal of Computer Applications · 2011
In this paper,a new image encryption algorithm was presented by employing Cellular Neural Network(CNN).The main objective was to solve the problem of traditional stream cipher's insensitivity to the change of plain text.By using a hyper chaotic system of 6-D CNN as the key source,selecting the secret key based on the results of logical operations of pixel values in the plain image,and introducing simultaneously both position permutation and value transformation,the new algorithm was presented.It is shown that both NPCR value and the sensitivity to key(0.996) can meet the security requirements of image encryption.The simulation process also indicates that the algorithm is relatively easy to realize with low computation complexity,and ensures,accordingly,the secure transmission of digital images.