Image encryption algorithm based on modified SC-Hopfield
Chen Liu, Chenghai Li, Fangzheng Zhao, Zijie Zhao, Hongyi Qiao · 2019
In order to improve the color in the process of image transmission security and efficiency, sine chaos mapping and Hopfield neural network model is put forward with the combination of image encryption algorithm. Firstly, sinusoidal chaotic mapping is adopted in the image scrambling stage to reduce the high correlation between image pixels; secondly, the key flow generated by iterative Hopfield chaotic neural network is used to complete the image diffusion; then, the image encryption is completed through bit operation; finally, the effectiveness and security of the encryption algorithm are analyzed. It is shown from that result and statistical analysis of the simulation that the algorithm has a variety of anti-attack ability and has high safety performance.