使用轴对齐的边界框进行图像加密的新型 Python 范式
Abdulbasid Banga1, Akifa Abbas2, Danish Ali2
1College of Computing and Informatics (CCI), Saudi Electronic University, Riyadh, 11673, Saudi Arabia.
Scientific reports
|May 16, 2025
概括
本研究提出了一个新的图像加密算法,使用轴对齐的边界框和混乱地图来实现安全的灰度图像传输. 该方法可确保各种应用中的敏感数字图像的机密性和完整性.
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:
- 数字图像对于跨部门信息交换至关重要.
- 对敏感图像的未经授权访问构成重大安全风险.
- 现有的加密方法需要加强,以获得强大的图像安全性.
研究的目的:
- 引入一种新的图像加密算法,以保护灰度数字图像.
- 使用先进的加密技术来增强图像的保密性和完整性.
- 为了验证算法的有效性和实际适用性.
主要方法:
- 利用轴对齐的边界框来创建一个3D图像表示.
- 实现以5D多翼超混乱地图为指导的像素交换,以避免混.
- 通过XOR运算引入扩散效应,并使用一块wise线性混乱地图.
- 使用私钥加密和Python模拟进行验证.
主要成果:
- 获得了高信息 (7.99985),表明了强烈的混.
- 证明了高效的性能,计算速度为0.3987秒.
- 在四个灰度图像上验证了算法的稳定性和可行性.
结论:
- 拟议的图像加密算法为保护敏感的灰度图像提供了安全有效的解决方案.
- 该方法的强大的安全特性和速度使其适用于各种现实世界的应用.
- 这项研究为现代数字格局中的数字图像安全提供了一种新的方法.
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