一个基于混乱的增强图像加密方案用于卫星图像使用弗雷德金逻辑
Wassim Alexan1, Engy Aly Maher2, Eyad Mamdouh2
1Communications Department, Faculty of Information Engineering and Technology, German University in Cairo, Cairo, 11835, Egypt. wassim.alexan@ieee.org.
Scientific reports
|October 28, 2025
概括
本研究介绍了卫星数据的新图像加密方法,通过多阶段的基于混乱的算法增强了安全性. 这种新的方法可确保对敏感的地理信息进行强有力的保护,防止各种攻击.
科学领域:
- 计算机科学 计算机科学
- 密码学 密码学 密码学 密码学
- 图像处理 图像处理
背景情况:
- 卫星图像包含敏感的地理数据,需要强有力的保护.
- 现有的加密方法可能无法充分解决卫星图像的独特安全挑战.
- 需要先进的加密算法来保护高风险的地理空间信息.
研究的目的:
- 介绍一种用于保护卫星图像的新增图像加密算法.
- 加强敏感地理数据的安全性和保密性.
- 开发一个计算效率高,可扩展的加密解决方案.
主要方法:
- 将多个平面图像加大到一个大图像中.
- 实施一个三阶段加密过程,涉及与高斯圆图和弗雷德金门的比特流操纵.
- 利用超混沌诱导的密钥和动态的Hill Cipher矩阵来实现先进的混乱和扩散.
主要成果:
- 实现了强大的安全指标:高 (7.9989),高像素变化率 (NPCR) 和高统一平均变化强度 (UACI).
- 证明了特定图像大小的0.2817s加密时间的计算效率.
- 保持了8.1dB的低峰信号噪声比 (PSNR),表明有效的数据模糊.
结论:
- 拟议的多阶段混沌式加密算法在安全性,可扩展性和效率方面提供了显著的改进.
- 该方法提供强大的抵抗差异和统计攻击,使其适合卫星图像.
- 这种算法非常适合高风险的应用程序,要求卫星图像安全中的数据完整性和保密性.
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