Single-Objective Particle Swarm Optimization-Based Chaotic Image Encryption Scheme

High security has always been the ultimate goal of image encryption, and closer ciphertext is to true random number, higher security. Aiming at popular chaotic encryption methods, particle swarm optimization (PSO) studied select parameters initial values systems so that sequence entropy. Different from other PSO-based proposed method takes system as particles instead encrypted images, which makes it have lower complexity therefore easier be applied in real-time scenarios. To validate framework, this paper designs a new scheme. The algorithm mainly includes key selection, preprocessing, block scrambling, expansion, confusion, diffusion. selected by PSO brought into map, generated preprocessed. Based on theory, intrablock interblock scrambling designed, combined with expansion encrypt image. Subsequently, confusion diffusion framework used last step process, including row column diffusion, go further. Several experimental tests manifest scenario good performance compared some methods.