Research on the Application of Video Encryption Technology Based on 7 Dimensional CNN Hyper Chaos
Qingmei Huang, Xueyan Zhao, Guodong Li · 2018
According to the basic knowledge of cellular neural network theory, this paper presents an application in video encryption algorithm. The encryption algorithm is mainly using the hyperchaotic property of cellular neural network, Lyapunov exponent has two is positive, from 7 dimension of neural network chaotic system is chosen as source key variables, based on Application of logistic map produce Logistic chaotic sequence, so that it can make the image pixel scrambling, so as to achieve the purpose of video encryption. Using MATLAB software, programming simulation. Results show that, the seven dimensional cellular neural network super mixed characteristics of chaos encryption Algorithm to make the video encryption, from the security analysis of the experimental results can also be seen that the encryption algorithm has a good encryption effect, the encrypted video set scrambling degree is high, also has the correlation between adjacent pixels is smaller, anti attack ability is strong, easy to implement, full of higher characteristics. So, it is more convenient to use.