S-Box Design Based on Discrete Chaotic Map and Improved Artificial Bee Colony Algorithm

To further enhance the nonlinear and cryptographic properties of chaotic S-boxes, a novel S-box design is proposed based on discrete map improved artificial bee colony algorithm. Firstly, generated by sequence initialized opposition-based optimization. Then, dual transposition algorithm used to optimize population, where Gaussian swap engaged strengthen optimum efficiency, make population acquire better quality with each other. With mutation operator, optimization performs self-learning obtain population. Comparing some recent S-boxes chaos. The scheme can achieve performance in bijection, nonlinearity, strict avalanche criterion(SAC), bit independence criterion(BIC), I / O XOR distribution linear approximation probability(LP). It provides new effective method for designing good properties.