一个多层加密信任增强模型,针对AI驱动的威胁传播和医疗保健数据生态系统的零日云漏洞
Meena Rani1, R Lavanya2, K V Shahnaz3
1Computer Science & Engineering (CSE), Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
Scientific reports
|February 3, 2026
概括
医疗保健云安全通过新的多层加密信任加强 (MCTR) 框架得到了增强. 这个系统使用了抗量子密码学,区块链和人工智能来有效打击网络攻击和零日威胁.
科学领域:
- 网络安全 网络安全
- 医疗保健技术 技术 医疗保健 技术
- 密码学 密码学 密码学 密码学
背景情况:
- 医疗云生态系统面临越来越多的网络攻击,零日漏洞和人工智能驱动的攻击威胁.
- 现有的安全模型往往缺乏现代医疗数据保护所需的稳定性和适应性.
研究的目的:
- 引入一个新的安全框架,即多层加密信任强化 (MCTR) 框架.
- 通过综合和科学基础的方法解决医疗云生态系统的漏洞.
主要方法:
- 该MCTR框架集成了等级化的量子抗性加密,通过区块链进行分散的信任验证,以及基于AI的异常检测.
- 该框架被设计成一种可适应和协调的安全架构.
主要成果:
- 模拟显示威胁检测率为95-98%,假阳性率低于2.5%.
- 区块链组件每秒实现了超过130笔交易,并且在对抗零日攻击方面显示了超过91%的有效性.
- 该框架确保了数学控制的信任发展和区块链控制的法医透明度.
结论:
- MCTR框架在技术上是合理的,在计算上是可行的,并且适合实时医疗保健应用.
- 它提供协调的多节点零日缓解和提高敏感医疗数据的安全性.
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