Encryption of images using chaos theory and cellular automata

The differences between textual and multimedia data, images for instance, the big size of images for one example and the correlation of adjacent pixels for another, have led to insufficient efficiency of traditional methods of cryptography and encrypting those data. This paper introduces a new method for image cryptography, using chaos mappings and 1D memory cellular automata. The method benefits from Piecewise linear chaos mapping in permutation phase and Logistic chaos mapping and cellular automata in broadcast phase. The outstanding characteristic of the introduced proposed algorithm is its capability of data verification in block level that holds a great weight in military and medical functions where image data or part of it is believed to be of great sensitivity. In this paper, the educational board of Cortex-M3 LPC1768 is served for hardware implementation of the proposed method. The results of different studies including key sensitivity assessment and statistical assessments depict the high level of the sensitivity of the proposed method. Furthermore, assessment of various attacks revealed the right level of resistance of the proposed method.