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Towards an Ecosystem of Domain Specific Languages for Threat Modeling
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering.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
2021 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Today, many of our activities depend on the normal operation of the IT infrastructures that supports them. However, cyber-attacks on these infrastructures can lead to disastrous consequences. Therefore, efforts towards assessing the cyber-security are being done, such as attack graph simulations based on system architecture models. The Meta Attack Language (MAL) was previously proposed as a framework for developing Domain Specific Languages (DSLs) that can be used for the aforementioned purpose. Since many common components exist among different domains, a way to prevent repeating work had to be defined. To facilitate this goal, we adapt taxonomy building by Nickerson and propose an ecosystem of MAL-based DSLs that describes a systematic approach for not only developing, but also maintaining them over time. This can foster the usage of MAL for modeling new domains.

Place, publisher, year, edition, pages
Springer Nature , 2021. p. 3-18
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-297942DOI: 10.1007/978-3-030-79382-1_1ISI: 000716947800001Scopus ID: 2-s2.0-85111415373OAI: oai:DiVA.org:kth-297942DiVA, id: diva2:1572729
Conference
Advanced Information Systems Engineering
Note

QC 20210817

Available from: 2021-06-24 Created: 2021-06-24 Last updated: 2022-12-20Bibliographically approved

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fulltext(408 kB)380 downloads
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Hacks, SimonKatsikeas, Sotirios

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf