通过SPN对高斯整数的残余类的多色图像安全性 [公式:参见文本]
Muhammad Sajjad1, Tariq Shah2, Rafik Hamza3
1NUTECH School of Applied Science and Humanities, National University of Technology, Islamabad, 44000, Pakistan. muhammad.sajjad@nutech.edu.pk.
Scientific reports
|February 21, 2025
概括
这项研究引入了从高斯整数中衍生的新的8x8 S-box,用于加密多个 RGB 图像. 拟议的方法通过非线性操作增强了加密安全性,为多媒体通信提供了强大的保护.
科学领域:
- 密码学 密码学 密码学 密码学
- 数学理论 数学理论
- 图像处理 图像处理
背景情况:
- 替代-代网络 (SPN) 是现代加密学的基础.
- 现有的S-box设计往往在实现高水平的混和扩散方面面临挑战.
- 多个RGB图像的安全加密对于多媒体通信至关重要.
研究的目的:
- 根据高斯整数设计和实施新的8x8 S-box.
- 在三级SPN中使用这些S框来加密多个RGB图像.
- 通过利用高斯整数的非线性运算和属性来增强加密安全性.
主要方法:
- 使用高斯整数和亲属转换构建两个8x8的S盒.
- 在最初的两个S-box上通过XOR操作开发第三个S-box.
- 将这些S框集成到RGB图像加密的三级SPN中,使用替换-变换-XOR操作.
主要成果:
- 拟议的SPN框架显示出优越的扩散和混特性.
- 多个RGB图像的加密显示了高和频道之间的低相关性.
- 该方法对微分和线性加密分析攻击的抵抗性增加.
结论:
- 基于高斯整数的S框为多图像加密提供了有效和安全的方法.
- 开发的SPN方案为安全的多媒体通信提供了可行的解决方案.
- 加密过程的非线性性质确保了强大的加密安全性.
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