Hyperchaotic System-Based PRNG and S-Box Design for a Novel Secure Image Encryption.

IF 2.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Entropy Pub Date : 2025-03-13 DOI:10.3390/e27030299
Erman Özpolat, Vedat Çelik, Arif Gülten
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Abstract

A hyperchaotic system was analyzed in this study, and its hyperchaotic behavior was confirmed through dynamic analysis. The system was utilized to develop a pseudo-random number generator (PRNG), whose statistical reliability was validated through NIST SP800-22 tests, demonstrating its suitability for cryptographic applications. Additionally, a 16 × 16 S-box was constructed based on the hyperchaotic system, ensuring high nonlinearity and strong cryptographic performance. A comparative analysis revealed that the proposed S-box structure outperforms existing designs in terms of security and efficiency. A new image encryption algorithm was designed using the PRNG and S-box, and its performance was evaluated on 512 × 512 grayscale images, including the commonly used baboon and pepper images. The decryption process successfully restored the original images, confirming the encryption scheme's reliability. Security evaluations, including histogram analysis, entropy measurement, correlation analysis, and resistance to differential and noise attacks, were conducted. The findings showed that the suggested encryption algorithm outperforms current techniques in terms of security and efficiency. This study contributes to the advancement of robust PRNG generation, secure S-box design, and efficient image encryption algorithms using hyperchaotic systems, offering a promising approach for secure communication and data protection.

本研究分析了一个超混沌系统,并通过动态分析确认了其超混沌行为。该系统被用于开发伪随机数发生器(PRNG),其统计可靠性通过了 NIST SP800-22 测试的验证,证明了其在密码应用中的适用性。此外,在超混沌系统的基础上还构建了一个 16 × 16 S-盒,确保了高非线性和强大的加密性能。对比分析表明,所提出的 S-box 结构在安全性和效率方面优于现有设计。利用 PRNG 和 S-box 设计了一种新的图像加密算法,并在 512 × 512 灰度图像(包括常用的狒狒和辣椒图像)上对其性能进行了评估。解密过程成功还原了原始图像,证实了加密方案的可靠性。此外,还进行了安全性评估,包括直方图分析、熵测量、相关性分析以及抗差分和噪声攻击的能力。结果表明,建议的加密算法在安全性和效率方面都优于现有技术。这项研究有助于利用超混沌系统促进稳健的 PRNG 生成、安全的 S-box 设计和高效的图像加密算法,为安全通信和数据保护提供了一种前景广阔的方法。
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来源期刊
Entropy
Entropy PHYSICS, MULTIDISCIPLINARY-
CiteScore
4.90
自引率
11.10%
发文量
1580
审稿时长
21.05 days
期刊介绍: Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced.
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