Image encryption algorithm using spatio-temporal chaotic sequences based on CNN and CML
Xiaofeng Liao · Jisuanji yingyong yanjiu · 2007
A symmetric image encryption algorithm that has a 128 bit key was proposed based on cellular neural network(CNN) and coupled map lattice(CML) model.Within the algorithm,a CNN that has a complex dynamical behavior and a piecewise linear chaotic map(PWLCM) were used to drive CML model as to quickly generate spatio-temporal chaotic sequences,which would be bitwise XORed with original image later.Algorithm analyses indicated that it has some excellent features such as a large key space,the sensitivity to the key,easily and quickly implementation,etc.Furthermore,the algorithm could resist the brute-force attacks,the know-plaintext attacks and ciphertext-only attacks.The computer simulations are carried out and the results show the correctness and effectiveness of the algorithm.