A compression-diffusion-permutation strategy for securing image

© 2018 Elsevier B.V. In the background of big data, it is of great significance to protect image data's confidentiality. In this paper, a compression-diffusion-permutation strategy for securing big image data is proposed. Firstly, an image is compressed by use of compressive sensing technique, in which the Hadamard matrix used as the measurement matrix is constructed through iterating two-dimensional Sine-Logistic modulation map(2D-SLMM) instead of using the entire Gaussian matrix as a key. Thus, only the utilization of a few keys in the 2D-SLMM avoids the transmission of the Gaussian matrix. Secondly, XOR is used to further diffuse the compressed image to enhance the security. Thirdly, an index sequence produced by 2D-SLMM with initial values is utilized to rearrange the positions of the diffused image. Experimental results indicate that the proposed algorithm makes some potential attacks impracticable, such as known plaintext attack and chosen ciphertext attack. Security analysis demonstrates the effectiveness and the security of the proposed algorithm.