A REVIEW PAPER ON COLOR IMAGE ENCRYPTION BY USING 3-D CHAOTIC CAT MAP

Abstract

Information security has become a big concern with the introduction of cloud and social networking networks. Photos are the most searched, uploaded, and exchanged data in multimedia. However, since digital images have a large data size, high redundancy, and a clear correlation between pixels, current encryption algorithms such as DES and AES may not be appropriate for image encryption. Using a generalized three-dimensional chaotic cat map and programmable complemented maximum length cellular automata (PC-MLCA) in this paper, we propose a new colour image encryption algorithm to solve these problems. We also design the PC-MLCA that can be hardware implemented and has a long period of time and can generate a nonlinear sequence as a pseudo random number generator (PRNG). The main sequence created by the proposed PC-MLCA changes the pixel value to an unpredictable value in the original image. And we build and use a generalized chaotic cat map to resist noise and delete attacks that can perform various modular operations to adjust the pixel location of colour images horizontally, vertically, and colour components of R, G, and B at the same time.