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P2CySeMoL :
P2CySeMoL : Predictive, Probabilistic Cyber Security Modeling Language
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- Holm, Hannes (author)
- KTH,Industriella informations- och styrsystem
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- Shahzad, Khurram (author)
- KTH,Industriella informations- och styrsystem
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- Buschle, Markus (author)
- KTH,Industriella informations- och styrsystem
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- Ekstedt, Mathias (author)
- KTH,Industriella informations- och styrsystem
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(creator_code:org_t)
- IEEE Press, 2015
- 2015
- English.
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In: IEEE Transactions on Dependable and Secure Computing. - : IEEE Press. - 1545-5971 .- 1941-0018. ; 12:6, s. 626-639
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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)
Publication and Content Type
- ref (subject category)
- art (subject category)
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