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一种用于图像加密应用的非链环与亨农映射的组合方法。

A combinatory approach of non-chain ring and henon map for image encryption application.

作者信息

Mohi Ud Din Salman, Shah Tariq, Alblehai Fahad, Nooh Sameer, Jamal Sajjad Shaukat

机构信息

Department of Mathematics, Quaid-I-Azam University, Islamabad, Pakistan.

Computer Science Department, Community College, King Saud University, Riyadh, 11437, Saudi Arabia.

出版信息

Sci Rep. 2025 Jan 13;15(1):1781. doi: 10.1038/s41598-025-85814-5.

Abstract

Algebraic structures play a vital role in securing important data. These structures are utilized to construct the non-linear components of block ciphers. Since constructing non-linear components through algebraic structures is crucial for the confusion aspects of encryption schemes, relying solely on these structures can result in limited key spaces. To address this issue, a complex non-chain ring with combination of Henon map based algorithm is presented. This proposed work aims to enhance both security and key space by utilizing complex algebraic structures. In this study, we investigate the use of unit elements from non-chain rings, establishing a mapping from the group of units to Galois fields to enhance the algebraic robustness of the scheme. A substitution box is constructed from Galois field and is applied in image processing. For pixel mixing, the Henon map is employed, and the exclusive OR operation is performed using a key generated from image pixels and the substitution box. The algorithm's performance is evaluated using standard parameters such as histograms, Structural Similarity Index Measure (SSIM), correlation analysis, and National Institute of Standards and Technology (NIST) tests. For S-box analysis, we apply the strict avalanche criterion (SAC), bit independence criterion (BIC), linear approximation probability (LAP), and differential approximation probability (DAP). This algebraic approach utilizes a robust and state-of-the-art image encryption system that is highly effective against potential attackers.

摘要

代数结构在保护重要数据方面起着至关重要的作用。这些结构被用于构建分组密码的非线性组件。由于通过代数结构构建非线性组件对于加密方案的混淆方面至关重要,仅依赖这些结构可能会导致密钥空间有限。为了解决这个问题,提出了一种结合基于亨农映射算法的复非链环。这项提议的工作旨在通过利用复代数结构来提高安全性和密钥空间。在本研究中,我们研究了非链环单位元的使用,建立了从单位元组到伽罗瓦域的映射,以增强该方案的代数稳健性。从伽罗瓦域构造一个替换盒并应用于图像处理。对于像素混合,采用亨农映射,并使用从图像像素和替换盒生成的密钥执行异或运算。使用诸如直方图、结构相似性指数测量(SSIM)、相关性分析和美国国家标准与技术研究院(NIST)测试等标准参数来评估该算法的性能。对于S盒分析,我们应用严格雪崩准则(SAC)、比特独立性准则(BIC)、线性逼近概率(LAP)和差分逼近概率(DAP)。这种代数方法利用了一种强大且先进的图像加密系统,该系统对潜在攻击者具有很高的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3087/11730669/ece57ca0b21b/41598_2025_85814_Fig1_HTML.jpg

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