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一个基于2D MTMHM的新型密钥生成,用于医疗图像通信的增强安全性

C Sivaranjani Devi¹, Rengarajan Amirtharajan²

¹School of Electrical & Electronics Engineering, SASTRA Deemed University, Thirumalaisamudram, Thanjavur, 613401, India. dpfi0423021792@sastra.ac.in.

Scientific reports

|July 14, 2025

概括

这项研究引入了一种新的混乱方程,2D-修改的Tinkerbell Map与Henon Map (2D-MTMHM),用于安全的医疗图像加密. 该方法确保了对敏感患者数据的强有力的保护,防止各种攻击.

科学领域:

密码学密码学密码学密码学
应用数学应用数学应用数学
医疗信息学医疗信息学

背景情况:

敏感医疗数据的安全通信在数字时代至关重要.
基于混沌理论的加密提供了一种有希望的方法来保护患者信息.
现有的方法需要新的算法来增强安全性.

研究的目的:

提出一个新的混乱方程,2D-修改的Tinkerbell地图与Henon地图 (2D-MTMHM),用于生成伪随机键序列.
开发一个安全的医疗图像加密算法,利用2D-MTMHM方程.
验证算法对各种安全威胁的有效性.

主要方法:

通过结合Tinkerbell和Henon地图,开发了2D-MTMHM混乱方程.
使用NIST SP800-22测试,分叉图和分析验证2D-MTMHM方程的属性.
实施一种混合-扩散加密过程,涉及行wise,列wise和选择性混合,其次是位wise扩散.

主要成果:

2D-MTMHM方程式顯示了理想的混亂特性,包括隨機性和敏感性.
加密算法实现了高平均 (7.99),接近零的相关系数,NPCR (99.6%) 和UACI (33.4%).
该系统证明了对统计,差异和粗暴武力攻击的有效性,具有10^270.0的大键空间.

结论:

拟议的2D-MTMHM混乱方程和集成的加密算法为医疗图像保护提供了一个高度安全的解决方案.
算法的稳定性和广泛的密钥空间确保了对复杂的网络攻击的强有力的抵抗力.
这项研究在安全的医疗数据传输和存储方面取得了重大进展.

关键词:

这是一个2D混乱地图.迪科姆公司 (DICOM)离散地图是一个离散地图.图像加密图像加密安全分析,安全分析.选择性的混杂.

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