Optimal Security Hardening over a Probabilistic Attack Graph

被引:0
|
作者
Buczkowski, Przemyslaw [1 ]
Malacaria, Pasquale [1 ]
Hankin, Chris [2 ]
Fielder, Andrew [2 ]
机构
[1] Queen Mary Univ London, Sch Elect Engn & Comp Sci, London, England
[2] Imperial Coll London, Inst Secur Sci & Technol, London, England
基金
英国工程与自然科学研究理事会;
关键词
threat modelling; multi-objective optimisation; probabilistic attack graph; industrial control system; cybersecurity risk assessment tool; MANAGEMENT;
D O I
10.1145/3510547.3517919
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
CySecTool is a tool that finds a cost-optimal security controls portfolio in a given budget for a probabilistic attack graph. A portfolio is a set of counter-measures, or controls, against vulnerabilities adopted for a computer system, while an attack graph is a type of a threat scenario model. In an attack graph, nodes are privilege states of the attacker, edges are vulnerabilities escalating privileges, and controls reduce the probabilities of some vulnerabilities being exploited. The tool builds on an optimisation algorithm published by [1], enabling a user to quickly create, edit, and incrementally improve models, analyse results for given portfolios and display the best solutions for all possible budgets in the form of a Pareto frontier. A case study was performed utilising a system graph and suspected attack paths prepared by industrial security engineers based on an industrial source with which they work. The goal of the case study is to model a supervisory control and data acquisition (SCADA) industrial system which, due to having a potential to harm people, necessitates strong protection while not allowing to use typical penetration tools like vulnerability scanners. Results are analysed to show how a cyber-security analyst would use CySecTool to store cyber-security intelligence and draw further conclusions.
引用
收藏
页码:21 / 30
页数:10
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