Video Image Encryption Technique Using Maximum-Length Cellular Automata and Arnold’s Cat Map
Arum Sulgi Cho, Wei Li, Sung Jin Cho, Seok Tae Kim · Applied Mechanics and Materials · 2015
In this paper, we propose a video image encryption approach by using maximum length cellular automata (MLCA) methods. First, the plane images of video of the encryption method are obtained by dividing frame units. Then the XOR operation and Arnold transform are applied to each of RGB plane images. Lastly, the encryption image is encrypted by the basis image of MLCA. To demonstrate the usefulness of the proposed method, we carry out preliminary experiments and present the experimental results. The experimental results show that the proposed method provides high security.