A novel image encryption algorithm based on bit-plane matrix rotation and hyper chaotic systems

In this paper, we propose a new image encryption algorithm based on bit-plane matrix rotation and two hyper chaotic systems. The algorithm first decomposes the plain-image into eight bit planes and constructs a three-dimensional (3D) matrix. Then the sub-matrix of the 3D bit-plane matrix is rotated in different directions controlled by PRNS generated by a hyper-chaotic system. Finally, the pixel values of the intermediate image are modified by using another key stream. Furthermore, the initial values of diffusion and parameters related with generating chaotic sequences are produced by the MD5 hash function of the plain-image, which enhances the correlation between the encryption process and the plain-image. Simulation experiments are presented to analyze the image encryption scheme in terms of key space, histogram, information entropy, key sensitivity and adjacent pixels correlation index. Theoretical analysis and experimental results demonstrate that the proposed algorithm has excellent performance and suffcient security level.