Efficient and Generic Algorithms for Quantitative Attack Tree Analysis

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
45 Downloads (Pure)


Numerous analysis methods for quantitative attack tree analysis have been proposed. These algorithms compute relevant security metrics, i.e. performance indicators that quantify how good the security of a system is; typical metrics being the most likely attack, the cheapest, or the most damaging one. However, existing methods are only geared towards specific metrics or do not work on general attack trees. This paper classifies attack trees in two dimensions: proper trees vs. directed acyclic graphs (i.e. with shared subtrees); and static vs. dynamic gates. For three out of these four classes, we propose novel algorithms that work over a generic attribute domain, encompassing a large number of concrete security metrics defined on the attack tree semantics; dynamic attack trees with directed acyclic graph structure are left as an open problem. We also analyse the computational complexity of our methods.
Original languageEnglish
Pages (from-to)4169-4187
JournalIEEE transactions on dependable and secure computing
Issue number5
Early online date19 Oct 2022
Publication statusPublished - Sept 2023


  • 2023 OA procedure


Dive into the research topics of 'Efficient and Generic Algorithms for Quantitative Attack Tree Analysis'. Together they form a unique fingerprint.

Cite this