Sparse representation based compressive video encryption using hyper-chaos and DNA coding

This work proposes a new and efficient sparse representation-based spatial compression of video signals integrated with a hyper-chaotic DNA coding-based encryption module that provides higher security. The betterment of compression efficiency is achieved by introducing sparse coding on the video frames, and higher security is obtained by applying 5D hyper-chaotic DNA coding on the sparse coded frames. This novel technique is applied to a large set of video signals for testing and compares its performance with some recently proposed video coding and encryption systems. To test and measure the efficiency and reliability of different encoding and encryption schemes, we consider a set of well-defined quality metrics, e.g., compression ratio, bit rate in compression, PSNR, NPCR, UACI, correlation coefficients, and histogram analysis, and measure the values of those metrics for different encoding and encryption modules. In addition, an ablation analysis is done. It shows improved quality matrices when we utilize DNA coding along with the 5D hyper-chaotic system-based encryption mechanism. We also perform the differential attack analysis for testing the security of the encryption modules. The quantitative measurements of these quality metrics for different algorithms demonstrate the superiority of the proposed algorithm to the other algorithms in efficiency, quality, and security.