Image Encryption Algorithm based on Particle Swarm Optimization and Chaos Logistic Map

Abstract

With the rapid growth of data transmission and sharing technology, image encryption is becoming a widely discussed topic in the field of information security. In this paper, Particle Swarm Optimization (PSO) algorithm with Chaos Logistic Map is applied to create an encryption algorithm. The proposed algorithm benefits from PSO's ability to be able to quickly search a large space, having a short computation time, and having a higher probability of finding the global optimum, and thus PSO produces a very good encryption image. Furthermore, the use of logistic map for confusion and diffusion operations is very beneficial. The algorithm starts by creating several encrypted images, which are the particles for PSO, and the logistics maps and the encryption key used is based on the plain image only. The optimization step is measuring the pixels correlation, where lower correlation values are better, and these serve as the fitness function. The simulation results of the proposed algorithm indicate an effective encryption process. In addition, the security analysis illustrates the ability of this algorithm to provide satisfying levels of security in comparison with other image encryption schemes.