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A compression-diffusion-permutation strategy for securing image

journal contribution
posted on 2018-09-01, 00:00 authored by H Huang, X He, Yong XiangYong Xiang, W Wen, Yushu Zhang
© 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.

History

Journal

Signal processing

Volume

150

Pagination

183 - 190

Publisher

Elsevier

Location

Amsterdam, The Netherlands

ISSN

0165-1684

Language

eng

Publication classification

C Journal article; C1 Refereed article in a scholarly journal

Copyright notice

2018, Elsevier