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Chaos and compressive sensing based novel image encryption scheme
Journal of Information Security and Applications ( IF 3.8 ) Pub Date : 2021-01-12 , DOI: 10.1016/j.jisa.2020.102711
Jan Sher Khan , Sema Koç Kayhan

Out of various cryptographic attacks, Chosen-Plaintext Attack (CPA) is one of the most powerful and widely used attack on encrypted images. In order to efficiently resist such a strong attack, a novel chaos and compressive sensing based image encryption algorithm is presented in this work. Firstly, the original plaintext image is compressed via Orthogonal Matching Pursuit with Partially Known Support (OMP-PKS) and then the compressed image is confused and diffused using TD-ERCS and Skew-tent chaotic maps, respectively. Correlation among the compressed pixels is break down via confusing the image pixels using Tangent Delay Ellipse Reflecting Cavity Map System (TD-ERCS). Skew-tent chaotic map is employed for the pixel diffusion process. To get the final ciphertext image, the confused pixels are further changed through bitwise XORed operation via random matrix. For the sake of higher security, the initial conditions of chaotic maps are made dependent on the plaintext image and the parameters are computed via SHA-512. Furthermore, to decrease the transmission bandwidth, the measurement matrix is generated via Beta chaotic map. Instead of sending the whole measurement matrix, the sender will just send the Beta chaotic map initial conditions and control parameters (key) values along with the compressed ciphertext. The reliability and robustness of the designed image compression and encryption scheme are verified via experimental analysis and simulation results. All the experimental and simulation results are in favor of the proposed scheme.



中文翻译:

基于混沌和压缩感知的新型图像加密方案

在各种加密攻击中,选择纯文本攻击(CPA)是对加密图像进行的功能最强大,使用最广泛的攻击之一。为了有效抵抗这种强大的攻击,本文提出了一种新颖的基于混沌和压缩感知的图像加密算法。首先,通过具有部分已知支持的正交匹配追踪(OMP-PKS)压缩原始明文图像,然后分别使用TD-ERCS和Skew-tent混沌图对压缩后的图像进行混淆和扩散。通过使用正切延迟椭圆反射腔贴图系统(TD-ERCS)混淆图像像素,可以分解压缩像素之间的相关性。偏斜混沌映射用于像素扩散过程。要获得最终的密文图像,混淆后的像素通过随机矩阵通过按位XOR运算进一步改变。为了更高的安全性,混沌映射的初始条件取决于纯文本图像,并通过SHA-512计算参数。此外,为了减少传输带宽,通过Beta混沌图生成测量矩阵。发送者将不发送整个测量矩阵,而只是发送Beta混沌图的初始条件和控制参数(键)值以及压缩的密文。通过实验分析和仿真结果验证了所设计图像压缩和加密方案的可靠性和鲁棒性。所有的实验和仿真结果都支持该方案。混沌图的初始条件取决于明文图像,并通过SHA-512计算参数。此外,为了减少传输带宽,通过Beta混沌图生成测量矩阵。发送方将发送Beta混沌图的初始条件和控制参数(键)值以及压缩的密文,而不是发送整个测量矩阵。通过实验分析和仿真结果验证了所设计图像压缩和加密方案的可靠性和鲁棒性。所有的实验和仿真结果都支持该方案。混沌图的初始条件取决于明文图像,并通过SHA-512计算参数。此外,为了减少传输带宽,通过Beta混沌图生成测量矩阵。发送方将发送Beta混沌图的初始条件和控制参数(键)值以及压缩的密文,而不是发送整个测量矩阵。通过实验分析和仿真结果验证了所设计图像压缩和加密方案的可靠性和鲁棒性。所有的实验和仿真结果都支持该方案。发送者将不发送整个测量矩阵,而只是发送Beta混沌图的初始条件和控制参数(键)值以及压缩的密文。通过实验分析和仿真结果验证了所设计图像压缩和加密方案的可靠性和鲁棒性。所有的实验和仿真结果都支持该方案。发送方将发送Beta混沌图的初始条件和控制参数(键)值以及压缩的密文,而不是发送整个测量矩阵。通过实验分析和仿真结果验证了所设计图像压缩和加密方案的可靠性和鲁棒性。所有的实验和仿真结果都支持该方案。

更新日期:2021-01-13
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