Hyperchaotic Image Encryption Algorithm Based on Deep Neural Network Key Generation and Dynamic DNA Coding

This paper proposes a super chaotic image encryption scheme based on deep neural network key generation and dynamic DNA coding, First, we use deep convolutional neural networks to extract features from plaintext images, and use the feature values as the initial values of the chaotic system, and then iterate the super chaotic Lorenz system to obtain the chaotic sequence for encryption, and use the chaotic sequence to dynamically select the DNA coding rules for image pixel matrix and The DNA encoding and operation of the chaotic sequence are used to change the image pixel values, and finally the dislocation and diffusion operations are performed to realize the encryption. The experimental results show that the image encryption scheme proposed in this paper can effectively resist differential attacks and various statistical analyses, and has higher security compared with other algorithms.