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Probabilistic modelling and attack simulations on AWS Connected Vehicle Solution: An Application of the Meta Attack Language
KTH, School of Electrical Engineering and Computer Science (EECS).
KTH, School of Electrical Engineering and Computer Science (EECS).
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Probabilistisk modellering och attacksimuleringar på AWSConnected Vehicle Solution : En tillämpning av Meta Attack Language (Swedish)
Abstract [en]

This work is focused on investigating if the Meta Attack Language (MAL) can be used to create an integrating layer between two different applications of the MAL, and thus being able to model a new domain. In this case vehicleLang and awsLang were choosen as candidate applications of the MAL. While the domain chosen was to model the AWS Connected Vehicle Solution Infrastructure. This domain therefore modelled a service that is quickly becoming popular among car manufacturers. The two languages were successfully compiled into one language using the MAL, and also able to model a leak within AWS that could potentially lead to greater exposure of the infrastructure as a whole. On the other hand some limitations in the MAL compiler has lead to suggestions of how to improve it for better support of integration of different MAL applications.

Abstract [sv]

Denna rapport är fokuserad på att undersöka om Meta Attack Language (MAL) kan användas till att skapa ett integrerande lager mellan två olika tillämpningar av MAL, och därmed modellera en ny domän. VehicleLang och awsLang valdes som tillämpningar av MAL. Domänen som valdes att modellera var AWS Connected Vehicle Solution Infrastructure, vilket är en service som blir allt mer populär bland biltillverkare. De två språken kompilerades ihop till ett med hjälp av MAL, och det användes till att modellera en läcka inom AWS som potentiellt kunde leda till en större exponering av infrastrukturen. Samtidigt har några begränsningar i MAL kompilatorn lett till några förbättringsförslag för bättre integrationssupport av olika MAL applikationer.

Place, publisher, year, edition, pages
2019. , p. 39
Series
TRITA-EECS-EX ; 2019:392
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-259298OAI: oai:DiVA.org:kth-259298DiVA, id: diva2:1350947
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Examiners
Available from: 2019-09-13 Created: 2019-09-12 Last updated: 2019-09-13Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • Other style
More styles
Language
  • de-DE
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  • nn-NB
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  • Other locale
More languages
Output format
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