Chaotic Map Optimization for Image Encryption Using Triple Objective Differential Evolution Algorithm

Chaotic maps used to shuffle and manipulate the image pixels are important for encryption (IE). In this study, a novel 2D optimized chaotic map (OPMAP) using triple-objective differential evolution (TODE) algorithm is presented IE. A model OPMAP with eight decision variables empirically designed, then its determined utilizing TODE through minimizing function that involving Lyapunov exponent (LE), entropy 0–1 test. assessed respect credible measurements like bifurcation, 3D phase space, LE, test, permutation (PE) sample (SE). The capability of verified an IE scheme including diffusion various cryptanalyses: key space 2298, mean 7.9995, correlation 13.61E-5, number changing rate (NPCR) 99.6093, unified average intensity (UACI) 33.4630 processing time (EPT) 0.2919 (s). detailed review schemes reported elsewhere performance also validated by comparison those without optimization used. 2D-OPMAP-based faster has low computational complexity. Moreover, proposed it shows better cryptanalysis results most comparisons.