一个使用优化混乱地图的高图像加密方案,使用约瑟夫的排列策略.
Nawal El Ghouate1, Mohamed Amine Tahiri1, Ahmed Bencherqui1
1Laboratory of Engineering, Systems and Applications, National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco.
Scientific reports
|August 11, 2025
概括
这项研究介绍了一种使用混乱地图和约瑟夫问题的新型图像加密算法. 该方法提高了医疗和监控中保护敏感数字图像的安全性和速度.
科学领域:
- 计算机科学 计算机科学
- 密码学 密码学 密码学
- 图像处理 图像处理
背景情况:
- 数字数据交换需要强大的图像保护,特别是在医学,监视和安全通信方面.
- 由于像素冗余和相关性,传统的加密方法 (DES,AES,RSA) 对图像是不理想的.
- 现有的图像加密方案经常面临速度和计算复杂性的挑战.
研究的目的:
- 开发一种新的,弹性和高效的图像加密算法,克服传统方法的局限性.
- 通过使用混乱地图,通过最佳扩散和像素混来增强图像安全性.
- 改进密钥生成并减少处理时间,同时保持高加密质量.
主要方法:
- 一个新的图像加密算法,结合了混乱的地图和可变步骤的约瑟夫问题.
- 开普勒混乱优化算法 (CKOA) 用于选择最佳的混乱地图.
- MD5和SHA-256哈希函数用于安全的密钥生成.
- 离散波纹转换 (DWT) 用于图像压缩和减少处理时间.
主要成果:
- 对于加密图像,实现了7.999的高平均.
- 对加密攻击具有很强的抵抗力,像素变化率为99.6%,统一平均变化强度为33.31%.
- 与现有方案相比,拟议的算法提供了更高的安全性.
结论:
- 新的图像加密算法提供了增强的安全性,速度和减少的计算复杂性.
- 混沌地图,约瑟夫问题和DWT的整合为图像保护提供了一个强大的解决方案.
- 这种方法非常适合在各种关键领域的敏感图像数据.
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