An image encryption approach using particle swarm optimization and chaotic map

Abstract

Encryption is predominantly crucial in order to provide safeguard to sensitive data, specifically images, against any possible illegitimate access and transgressions. This paper presents to propose an optimized image encryption approach for secure image-based communication. The approach makes use of particle swarm optimization to receive optimized encryption effect and a chaotic map. Initially, the approach generates several encrypted images and chaotic Logistic map, where session key for map’s initial conditions are made dependent on pending plain-image. Subsequently, the encrypted images are served as particles and an initial assemblage to operate optimization through PSO. The optimized encrypted image is manifested by correlation coefficient relevant to contiguous pixels as fitness function. The simulation results of proposed encryption approach demonstrate that encrypted image exhibits high de-correlation of adjacent pixels along with other excellent encryption lineaments such as flat histograms, entropies, net pixel change rates, and unified average changing intensities.