大型信息物理系统的动态风险评估与分析框架

Adeel A. Malik, Deepak K. Tosh
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引用次数: 2

摘要

网络空间正在全速发展,创造了不同系统的融合。这种异构性导致系统复杂性和安全性缺陷的增加。理解和识别这些缺陷对于防止灾难性事件至关重要。然而,当前最先进的解决方案是针对特定威胁的,并且关注风险、漏洞或对手模拟。在这项工作中,我们提出了一个可扩展的网络威胁和漏洞信息分析器(CyVIA)框架。CyVIA利用源自开源漏洞数据库的多格式知识库,实时分析网络风险和异常。CyVIA实现了以下目标:1)评估目标网络的风险和漏洞;2)将服务和策略映射到网络节点;3)根据严重性对节点进行分类;4)提供发现漏洞的后果、缓解措施和关系。我们使用CyVIA和其他工具来检查模拟网络中的威胁并比较结果。
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Dynamic Risk Assessment and Analysis Framework for Large-Scale Cyber-Physical Systems
Cyberspace is growing at full tilt creating an amalgamation of disparate systems. This heterogeneity leads to increased system complexity and security flaws. It is crucial to understand and identify these flaws to prevent catastrophic events. However, the current state-of-the-art solutions are threat-specific and focus on either risk, vulnerabilities, or adversary emulation. In this work, we present a scalable Cyber-threats and Vulnerability Information Analyzer (CyVIA) framework. CyVIA analyzes cyber risks and abnormalities in real-time using multi-formatted knowledge bases derived from open-source vulnerability databases. CyVIA achieves the following goals: 1) assess the target network for risk and vulnerabilities, 2) map services and policies to network nodes, 3) classify nodes based on severity, and 4) provide consequences, mitigation, and relationships for the found vulnerabilities. We use CyVIA and other tools to examine a simulated network for threats and compare the results.
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