P2CySeMoL : Predictive, Probabilistic Cyber Security Modeling Language

• This paper presents the Predictive, Probabilistic Cyber Security Modeling Language ((PCySeMoL)-Cy-2), an attack graph tool that can be used to estimate the cyber security of enterprise architectures. (PCySeMoL)-Cy-2 includes theory on how attacks and defenses relate quantitatively; thus, users must only model their assets and how these are connected in order to enable calculations. The performance of (PCySeMoL)-Cy-2 enables quick calculations of large object models. It has been validated on both a component level and a system level using literature, domain experts, surveys, observations, experiments and case studies.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

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