Encryption Algorithm of Video Images Combining Hyper-Chaotic System and Logistic Mapping

Using the traditional single image encryption algorithm for video images is time-consuming and inefficient. To improve the efficiency of video image encryption, combined with the Cellular Neural Network(CNN) hyper-chaotic system and Logistic chaos mapping, an algorithm combining single frame encryption one by one and multi-frame combination encryption is proposed.According to the video frame, SHA-256 generates the initial value of logistic, and the logistic chaotic sequence is obtained through Logistic mapping iteration.The generated chaotic sequence diffuses the video frame by frame.The video frames are combined into a matrix in binary form, and the initial value generated by using the hash function according to the combination matrix is substituted into CNN hyper-chaotic system.The obtained chaotic sequence scrambles the combination matrix, and the diffusion and scrambling of each pixel of all video frames are completed in one step to shorten the encryption time.Simultaneously, the combination matrix is re-decomposed into a single frame image to obtain the final encrypted video image.Experiments show that using a high-dimensional hyper-chaotic system in the algorithm has higher security, effectively shortens the time spent encrypting video images, and can resist statistical attacks, differential attacks, and violent attacks.