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一种通过有序响应模型评估网络风险的统计方法
Silvia Facchinetti1, Silvia Angela Osmetti1, Claudia Tarantola2
1Department of Statistical sciences, Università Cattolica del Sacro Cuore, Milan, Italy.
概括
对企业来说,评估网络攻击风险至关重要. 本研究使用专家定性数据和累积链接模型来评估网络风险的严重程度,并纳入网络效应以进行更好的分析.
科学领域:
- 网络安全 网络安全
- 风险管理 风险管理
- 数据科学数据科学数据科学
背景情况:
- 评估网络攻击风险对于企业来说至关重要,因为威胁日益增加.
- 关于网络攻击损失的定量数据往往无法获得.
- 专家的定性评估提供了攻击严重程度的顺序尺度.
研究的目的:
- 应用订单响应模型,特别是累积链接模型,用于分析网络风险.
- 解释基于攻击特征的网络攻击严重性的专家评估.
- 将网络扩散效应纳入网络风险分析.
主要方法:
- 利用累积链接模型来分析网络攻击严重性的普通专家评估.
- 确定了描述网络攻击特征的解释变量.
- 整合了一个网络结构测量来量化攻击效应的扩散.
主要成果:
- 开发了一个模型,使用攻击属性和网络扩散来解释专家评级的网络攻击严重程度.
- 证明了累积链接模型在网络安全风险评估中的适用性.
- 分析了2017-2018年网络攻击的真实世界数据集.
结论:
- 累积链接模型为分析定性网络风险数据提供了强大的框架.
- 了解攻击特征和网络效应可以改善网络风险评估.
- 该方法为增强企业网络安全战略提供了有价值的见解.
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