检查各种攻击场景中复杂网络漏洞的指标
Ahmad F Al Musawi1,2, Satyaki Roy3, Preetam Ghosh4
1Department of Information Technology, University of Thi Qar, Thi Qar, Iraq. almusawiaf@utq.edu.iq.
Scientific reports
|October 24, 2023
概括
复杂的网络是一个复杂的网络.
科学领域:
- 网络科学 网络科学
- 系统分析,系统分析.
- 图形理论就是图形理论.
背景情况:
- 复杂网络模拟了各种领域的真实世界系统.
- 网络分析可以识别关键组件和漏洞.
- 了解网络结构是系统完整性的关键.
研究的目的:
- 调查确定网络易受攻击的拓性质.
- 量化网络增长/耗尽对强度的影响.
- 确定网络易感性的关键指标.
主要方法:
- 对拓指标的分析 (例如模块化,分类性,LCC).
- 模拟基于节点和链路的攻击场景.
- 部分最小平方对指标贡献的歧视性分析.
主要成果:
- 高模块化和不分类性与网络脆弱性有很强的相关性.
- 这些特性使得网络容易受到针对性的攻击.
- 随着攻击下的网络耗尽,稳定性会下降.
结论:
- 模块化和分类性是网络脆弱性的关键指标.
- 调查结果支持加强关键基础设施稳健性的战略.
- 适应性模型可以防御战略攻击.
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