超混沌的基于系统的PRNG和S-Box设计,用于创新的安全图像加密
Erman Özpolat1, Vedat Çelik2, Arif Gülten2
1Department of Electrical-Electronics Engineering, Faculty of Engineering and Architecture, Mus Alparslan University, Mus 49100, Turkey.
Entropy (Basel, Switzerland)
|March 28, 2025
概括
本研究介绍了一种新的超混沌系统,用于生成安全的伪随机数和S框. 开发的图像加密算法证明了数据保护的卓越安全性和效率.
科学领域:
- 混沌理论是一个混乱理论.
- 密码学 密码学 密码学
- 图像处理 图像处理
背景情况:
- 超混沌系统提供了复杂的动态,适合加密应用.
- 现有的伪随机数生成器 (PRNG) 和S盒在安全性和效率方面存在局限性.
- 图像加密需要强大的算法来保护敏感的视觉数据.
研究的目的:
- 分析超混沌系统并确认其行为.
- 开发和验证基于超混沌系统的PRNG和16x16 S-box.
- 设计和评估一个新的图像加密算法,利用开发的PRNG和S-box.
主要方法:
- 超混沌系统的动态分析.
- 为PRNG验证进行NIST SP800-22统计测试.
- 一个16x16 S-box.的构造和比较分析.
- 在灰度图像上的图像加密算法的实施和安全评估.
主要成果:
- 超混沌系统表现出已确认的混乱行为.
- 该PRNG通过了NIST SP800-22测试,表明了密码学的适用性.
- 与现有设计相比,拟议的S-box表现出优越的非线性和性能.
- 图像加密算法显示出高可靠性,成功加密和解密图像.
- 综合的安全分析证实了算法对各种攻击的抵抗力及其效率.
结论:
- 超混沌系统对于开发可靠的PRNG和安全的S-box是有效的.
- 拟议的图像加密算法比目前的方法提供了更高的安全性和效率.
- 这项研究提供了一种有前途的方法,通过超混沌加密技术来实现安全通信和数据保护.
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