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powerLang: a probabilistic attack simulation language for the power domain
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering. (Software Systems Architecture and Security)ORCID iD: 0000-0003-0478-9347
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering.ORCID iD: 0000-0001-8287-3160
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering.ORCID iD: 0000-0002-9546-9463
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering.ORCID iD: 0000-0003-3089-3885
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2020 (English)In: Energy Informatics, ISSN 2520-8942, Vol. 3, no 1Article in journal (Refereed) Published
Abstract [en]

Cyber-attacks these threats, the cyber security assessment of IT and OT infrastructures can foster a higher degree of safety and resilience against cyber-attacks. Therefore, the use of attack simulations based on system architecture models is proposed. To reduce the effort of creating new attack graphs for each system under assessment, domain-specific languages (DSLs) can be employed. DSLs codify the common attack logics of the considered domain.Previously, MAL (the Meta Attack Language) was proposed, which serves as a framework to develop DSLs and generate attack graphs for modeled infrastructures. In this article, powerLang as a MAL-based DSL for modeling IT and OT infrastructures in the power domain is proposed. Further, it allows analyzing weaknesses related to known attacks. To comprise powerLang, two existing MAL-based DSL are combined with a new language focusing on industrial control systems (ICS). Finally, this first version of the language was validated against a known cyber-attack.

Place, publisher, year, edition, pages
Springer Nature , 2020. Vol. 3, no 1
National Category
Computer Sciences
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URN: urn:nbn:se:kth:diva-286774DOI: 10.1186/s42162-020-00134-4Scopus ID: 2-s2.0-85107935018OAI: oai:DiVA.org:kth-286774DiVA, id: diva2:1504553
Note

QC 20220426

Available from: 2020-11-28 Created: 2020-11-28 Last updated: 2022-12-20Bibliographically approved

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Hacks, SimonKatsikeas, SotiriosLing, EnglaLagerström, RobertEkstedt, Mathias

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