Image Encryption using Cellular Automata

An optimal image encryption model has been suggested using a diffusion model based on cellular automata. First the test or original image pixels are mixed with randomly generated sequences based on intertwining logistic map. Then a shuffling engine is used to permute the pixel positions. Further, Cellular Automata based diffusion models are carried out. The main advantage of using cellular automata is that it is impossible to decode the original data without having information about cellular automata, its procedures and the set of rules used in the model. The test results obtained from the proposed model are efficient in numerous test scenarios. Resistivity against differential and statistical attacks, broader key space and brute force attack resistance makes the proposed model a better scheme.