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一种基于新型四维混沌和压缩感知的视觉安全多密钥选择图像加密算法

A visual security multi-key selection image encryption algorithm based on a new four-dimensional chaos and compressed sensing.

作者信息

Zhu Shuqin, Zhu Congxu

机构信息

School of Computer Science and Technology, Liaocheng University, Liaocheng, 252059, China.

School of Computer Science and Engineering, Central South University, Changsha, 410083, China.

出版信息

Sci Rep. 2024 Jul 5;14(1):15496. doi: 10.1038/s41598-024-66320-6.

DOI:10.1038/s41598-024-66320-6
PMID:38969764
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11226606/
Abstract

In this article, a visual security image encryption algorithm based on compressed sensing is proposed. The algorithm consists of two stages: the compression and encryption stage and the embedding stage. The key streams in the compression and encryption stage are generated by a newly constructed four-dimensional discrete chaotic map, while the Gaussian measurement matrix is generated by a Chebyshev map, and both of their generations are related to the feature code of the carrier image, which enhances the security of the ciphertext. In the compression and encryption stage, a scrambling-cyclic shift-diffusion encryption structure is adopted for the compressed image in which the shift number in the cyclic shift stage and the diffusion key streams are dynamically changed according to each pixel value, so the algorithm can resist chosen plaintext attack. In the embedding stage, the carrier image is first subjected to integer wavelet transform to obtain the high-frequency and low-frequency components of the image, and then the intermediate ciphertext information is embedded into its high-frequency components. Finally, the carrier image is subjected to inverse integer wavelet transform to obtain a visually secure ciphertext image. The experimental results and security analysis indicate that the encryption scheme has a large key space, high decryption key sensitivity, similar histogram distribution between the carrier image and the visual security ciphertext image, and good robustness to noise attacks.

摘要

本文提出了一种基于压缩感知的可视安全图像加密算法。该算法包括两个阶段:压缩加密阶段和嵌入阶段。压缩加密阶段的密钥流由新构造的四维离散混沌映射生成,高斯测量矩阵由切比雪夫映射生成,它们的生成均与载体图像的特征码相关,增强了密文的安全性。在压缩加密阶段,对压缩图像采用置乱-循环移位-扩散加密结构,其中循环移位阶段的移位次数和扩散密钥流根据每个像素值动态变化,因此该算法能够抵抗选择明文攻击。在嵌入阶段,首先对载体图像进行整数小波变换以获得图像的高频和低频分量,然后将中间密文信息嵌入其高频分量中。最后,对载体图像进行整数小波逆变换以获得可视安全的密文图像。实验结果和安全性分析表明,该加密方案具有较大的密钥空间、较高的解密密钥敏感性、载体图像与可视安全密文图像之间相似的直方图分布以及对噪声攻击良好的鲁棒性。

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