对网络安全情境意识的关键链路发现方法的研究
Guozheng Yang1,2, Yongheng Zhang1,2, Yuliang Lu1,2
1College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China.
Entropy (Basel, Switzerland)
|April 26, 2024
概括
本研究引入了一种新的度量,多层依赖链接 (MDLE),用于网络安全情境意识 (NSSA). MDLE有效地识别了复杂的多层网络拓中的关键链接,改进了安全分析.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 信息理论 信息理论
背景情况:
- 传统的单层网络模型对于分析大规模,复杂的互联网结构是不够的.
- 现代网络安全情境意识 (NSSA) 需要先进的方法来理解不断变化的网络环境.
- 网络组件的多样化需要转向多层网络分析.
研究的目的:
- 为NSSA开发一种新的指标,用于评估多层网络拓中的链接重要性.
- 解决现有方法的局限性,以捕捉分层网络结构的复杂性.
- 提高网络安全中关键链路发现的准确性和有效性.
主要方法:
- 提出了一个包含物理设备,业务应用程序和用户角色网络的三层网络模型.
- 引入了多层依赖链接 (MDLE) 度量.
- MDLE集成了链接-本地之间的中心性和映射,考虑跨层的链接依赖性.
主要成果:
- 与传统指标相比,MDLE在关键链路发现中表现出优越的顺序单调性.
- 破坏模拟显示,MDLE在识别脆弱链接方面效率更高.
- 该指标有效地汇总了跨不同网络层的重要贡献.
结论:
- MDLE指标非常适合在多层网络拓中发现关键链路.
- 这种方法通过提供更全面的分析来提高网络安全局势意识.
- 这些发现支持采用多层网络模型和先进的指标来实现强大的网络安全.
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