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A novel image encryption algorithm based on compressed sensing theory and hyper-chaotic system

机译:一种基于压缩感测理论和超混沌系统的新型图像加密算法

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A novel image encryption algorithm is proposed based on compressed sensing theory and hyper-chaotic system. This algorithm can improve the flaws of traditional image encryption methods such as low safety, strong information correction and high cost of storage and transmission. In this algorithm, we combine compressed sensing with scrambling and diffusion scheme through hyper-chaotic Lorenz map. In the process of compressed sensing, the measurement matrix is designed by chaotic sequence and the discrete wavelet transform matrix is selected as sparse matrix. Then plaintext-related scrambling and diffusion algorithm is used to further strengthen the ability of the encryption algorithm to resist differential attacks. Simulation results and security analyses verify that the algorithm has the advantages of strong confidentiality, large key space and high reconstruction accuracy.
机译:基于压缩检测理论和超混沌系统提出了一种新颖的图像加密算法。该算法可以改善传统图像加密方法的缺陷,如低安全性,强大的信息校正和高成本的存储和传输。在该算法中,我们通过超混沌Lorenz地图将压缩感测与扰动和扩散方案相结合。在压缩感测的过程中,通过混沌序列设计测量矩阵,并且离散小波变换矩阵被选择为稀疏矩阵。然后用明文相关的加扰和扩散算法来进一步增强加密算法抵抗差分攻击的能力。仿真结果和安全分析验证了该算法具有强大机密性,大量关键空间和高重建精度的优点。

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