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基于索普洗牌和伪双端队列的图像加密方案。

Image encryption scheme based on thorp shuffle and pseudo dequeue.

作者信息

Geng Shengtao, Guo Danlei, Zhang Xuncai, Wang Yanfeng, Niu Ying

机构信息

School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, China.

出版信息

Sci Rep. 2025 Apr 1;15(1):11141. doi: 10.1038/s41598-025-95263-9.

Abstract

To enhance the security level of image data transmission, this paper proposes a four-dimensional hyperchaotic image encryption scheme based on the combination of Thorp shuffle and pseudo dequeue. First, the nonlinear term of the classic four-dimensional Chen chaotic system is improved to construct an improved four-dimensional hyperchaotic system. Phase diagrams, Lyapunov exponents, and equilibrium points are used to analyze its dynamic characteristics. The system has rich dynamic behaviors, and its maximum Lyapunov exponent reaches 11.3. Second, the SHA-256 algorithm is used in combination with plain image information to generate an initial chaotic key. On the basis of this key, a pseudorandom sequence is generated by the chaotic system and used for scrambling and diffusion operations. An image encryption algorithm combined with chaotic sequences is subsequently designed, which includes index scrambling, a double-ended Thorp shuffle, and a diffusion step based on a multiplane bit operation. Finally, the performance of this algorithm is evaluated through experiments such as statistical analysis, differential attack analysis, and noise attack analysis. The information entropy of the cipher image can reach 7.9994, with the number of pixel change rates and the unified average change intensity being close to the ideal value, and the percentage of floating frequency can reach 63%. The results show that the algorithm proposed in this paper has high encryption efficiency and security and performs excellently in terms of anti-attack performance.

摘要

为提高图像数据传输的安全级别,本文提出一种基于索普洗牌和伪双端队列相结合的四维超混沌图像加密方案。首先,对经典四维陈氏混沌系统的非线性项进行改进,构建一个改进的四维超混沌系统。利用相图、李雅普诺夫指数和平衡点对其动力学特性进行分析。该系统具有丰富的动力学行为,其最大李雅普诺夫指数达到11.3。其次,将SHA-256算法与明文图像信息相结合生成初始混沌密钥。在此密钥的基础上,由混沌系统生成一个伪随机序列,并将其用于置乱和扩散操作。随后设计了一种结合混沌序列的图像加密算法,该算法包括索引置乱、双端索普洗牌以及基于多平面位运算的扩散步骤。最后,通过统计分析、差分攻击分析和噪声攻击分析等实验对该算法的性能进行评估。密文图像的信息熵可达7.9994,像素变化率和统一平均变化强度接近理想值,浮点频率百分比可达63%。结果表明,本文提出的算法具有较高的加密效率和安全性,在抗攻击性能方面表现优异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7349/11962107/7199ebe836c1/41598_2025_95263_Fig1_HTML.jpg

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