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A compression sensing and noise-tolerant image encryption scheme based on chaotic maps and orthogonal matrices

Ahmad, Jawad; Khan, Muazzam A.; Hwang, Seong Oun; Khan, Jan Sher


Muazzam A. Khan

Seong Oun Hwang

Jan Sher Khan


With the evolution of technologies, the size of an image data has been significantly increased. However, traditional image encryption schemes cannot handle the emerging problems in big data such as noise toleration and compression. In order to meet today’s challenges, we propose a new image encryption scheme based on chaotic maps and orthogonal matrices. The main core of the proposed scheme is based on the interesting properties of an orthogonal matrix. To obtain a random orthogonal matrix via the Gram Schmidt algorithm, a well-known nonlinear chaotic map is used in the proposed scheme to diffuse pixels values of a plaintext image. In the process of block-wise random permutation, the logistic map is employed followed by the diffusion process. The experimental results and security analyses such as key space, differential and statistical attacks show that the proposed scheme is secure enough and robust against channel noise and JPEG compression. In addition to complete encryption for higher security, it also supports partial encryption for faster processing as well.

Journal Article Type Article
Acceptance Date May 30, 2016
Online Publication Date Jun 10, 2016
Publication Date Jun 10, 2016
Deposit Date Sep 13, 2019
Print ISSN 0941-0643
Publisher BMC
Peer Reviewed Peer Reviewed
Volume 28
Issue S1
Pages 953-967
Keywords Chaotic maps; Image encryption; AWGN; Compression; Partial encryption; DCT
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