一个高效的图像加密模型,基于6D超混沌系统和对称矩阵,用于彩色和灰色图像
Anju Panwar1, Geeta Biban1, Renu Chugh2
1Department of Mathematics, Maharshi Dayanand University, Rohtak 124001, India.
Heliyon
|June 24, 2024
概括
本研究介绍了一种使用6D超混乱图和对称矩阵的新型图像加密模型. 该方法确保了安全的图像数据传输,证明了对各种加密分析攻击的高弹性.
科学领域:
- 计算机科学 计算机科学
- 密码学 密码学 密码学
- 信息安全 信息安全
背景情况:
- 在不断扩大的数字环境中,图像安全至关重要.
- 混乱系统提供了适合加密的随机性和不可预测性.
- 现有的方法可能对复杂的攻击有漏洞.
研究的目的:
- 为彩色和灰度图像开发一个强大的图像加密模型.
- 增强图像安全性,防止差异和统计攻击.
- 评估模型的效率和弹性.
主要方法:
- 对于像素混 (位置变化) 使用6D超混沌地图.
- 一个对称矩阵用于像素扩散 (值变化) 每个RGB频道.
- 该模型对差异性攻击 (NPCR,UACI) 和统计性攻击 (组图,相关性,分析) 进行了测试.
主要成果:
- 加密模型实现了高的平均值 (约. 7.999) 对于两个图像类型.
- 接近最佳的NPCR (大约. 99.59%) 和UACI (大约. 记录了33.40%) 的值.
- 实验和统计分析证实了像素分布的均性和对攻击的强烈抵抗力.
结论:
- 拟议的基于6D超混乱地图的图像加密方案非常高效.
- 该算法对广泛的加密分析攻击表现出了显著的弹性.
- 该模型为保护数字图像数据提供了一个安全的解决方案.
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