Adaptive Chaotic Image Encryption Algorithm Based on RNA and Pixel Depth

To prevent the leakage of image content, encryption technology has received increasing attention. Most current algorithms are only suitable for images certain types and cannot update keys in a timely manner. tackle such problems, we propose an adaptive chaotic algorithm based on RNA pixel depth. Firstly, novel system, two-dimensional improved Logistic-adjusted-Sine map is designed. Then, three-dimensional Arnold transform scrambling. Secondly, generated by hash values plain time to achieve one-image, one-key, one-time pad simultaneously. Thirdly, build pre-permuted cube 3D scrambling depth, sequences, coding. Finally, selective diffusion combined with depth operations performed, which operators determined chemical structure properties amino acids. Pixel integrated into whole procedure parameter generation, scrambling, diffusion. Experiments analyses show that our strong security, desirable performance, broader scope application.