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An image coding scheme using parallel compressive sensing for simultaneous compression-encryption applications

机译：一种用于并行压缩加密应用的使用并行压缩感测的图像编码方案

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摘要

Recently, using compressive sensing (CS) as a cryptosystem has drawn attention due to its compressibility and low-complexity during the sampling process. However, when applying such cryptosystem to images, how to protect the privacy of the image while keeping efficiency becomes a challenge. In this paper, we propose a novel image coding scheme that achieves combined compression and encryption under a parallel compressive sensing framework, where both the CS sampling and the CS reconstruction are performed in parallel. In this way, the efficiency can be guaranteed. On the other hand, for security, the resistance to chosen plaintext attack (CPA) is realized with the help of the cooperation between a nonlinear chaotic sensing matrix construction process and a counter mode operation. Furthermore, the defect of energy information leakage in CS-based cryptosystem is also overcome by a diffusion procedure. Experimental and analysis results show the scheme achieves effectiveness, efficiency and high security simultaneously. (C) 2017 Elsevier Inc. All rights reserved.
机译：近来，由于压缩感测（CS）在采样过程中具有可压缩性和低复杂性，因此将其用作密码系统引起了人们的注意。然而，当将这种密码系统应用于图像时，如何在保持效率的同时保护图像的隐私成为挑战。在本文中，我们提出了一种新颖的图像编码方案，该方案在并行压缩感测框架下实现了压缩和加密的组合，其中CS采样和CS重建都是并行执行的。这样，可以保证效率。另一方面，为了安全起见，借助于非线性混沌感测矩阵构造过程和反模式运算之间的协作，实现了对选定明文攻击（CPA）的抵抗力。此外，基于CS的密码系统中的能量信息泄漏的缺陷也可以通过扩散程序来克服。实验和分析结果表明，该方案同时达到了有效性，效率和高安全性。 （C）2017 Elsevier Inc.保留所有权利。

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