通过二维蜂自动机和混乱的物流地图来实现动态图像加密方案.
Yasmin Abdul1, Venkatesan Ramasamy2, Gaverchand Kukaram3
1Department of Mathematics, Sri Sai Ram Engineering College, Sai Leo Nagar, West Tambaram, Chennai, Tamil Nadu, 600 044, India.
Scientific reports
|October 15, 2025
概括
这项研究介绍了一种新的图像加密方法,使用蜂自动机 (CA) 和混乱地图来增强安全性. 该框架提供了对网络威胁和传输错误的强有力的保护,确保高度保密性和完整性.
科学领域:
- 计算机科学 计算机科学
- 密码学 密码学 密码学
- 信息安全 信息安全
背景情况:
- 由于不断发展的网络威胁,数字数据安全至关重要.
- 现有的图像加密方法需要不断改进,以提高机密性和完整性.
- 蜂自动机 (CA) 和混乱地图为开发强大的加密算法提供了潜力.
研究的目的:
- 提出一种新的图像加密框架,集成2D蜂自动机 (CA) 和3D合后勤混乱地图.
- 通过混合加密方法来增强图像保密性,完整性和随机性.
- 确保对传输错误和噪声攻击的弹性.
主要方法:
- 利用2D CA的空间复杂性来实现安全的密钥生成.
- 采用3D合物流图来放大加密过程中的混乱行为.
- 集成的 Reed-Solomon 代码用于数据完整性和关键和密码图像中的错误纠正.
主要成果:
- 获得了高值 (接近7.9989),表明了强大的加密随机性.
- 具有较高的NPCR (99.7887) 和UACI (36.9223) 平均值,对差异性攻击表现出显著的抵抗力.
- 通过NIST测试验证了统计随机性 (平均p值为0.6771) 并证实了对噪声攻击的稳定性.
结论:
- 拟议的图像加密框架有效地提高了安全性,机密性和完整性.
- 与传统方法相比,CA和混乱地图的集成提供了更好的保护.
- 该方案是强大的,适合实际应用,即使在杂的环境中.
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