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  • 标题:K maximum probability attack paths dynamic generation algorithm
  • 本地全文:下载
  • 作者:Bi, Kun ; Han, Dezhi ; Wang, Jun
  • 期刊名称:Computer Science and Information Systems
  • 印刷版ISSN:1820-0214
  • 电子版ISSN:2406-1018
  • 出版年度:2016
  • 卷号:13
  • 期号:2
  • 页码:677-689
  • DOI:10.2298/CSIS160227022B
  • 出版社:ComSIS Consortium
  • 摘要:An attack graph depicts multiple-step attack and provides a description of system security vulnerabilities. It illustrates critical information necessary to identify potential weaknesses and areas for enhanced defense. Attack graphs include multiple attack paths, which are a focus for further detailed analysis and risk mitigation. Considering that different vulnerabilities have different probabilities of being exploited, this paper proposes an algorithm to dynamically generate the top K attack paths with maximum probabilities for every node of a system. The proposed algorithm does not require generation of the full attack graph to calculate the K attack paths. Instead, it directly processes and analyzes the system input data and dynamically identifies the K attack paths. The computational time, based upon the complexity of the attack paths, can be constrained by the parameter K. Experimental results show that the algorithm is scalable and efficient.
  • 关键词:attack path; attack graph; K shortest paths; system security; network security
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