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vehicleLang: a probabilistic modeling and simulation language for vehicular cyber attacks
KTH, School of Electrical Engineering and Computer Science (EECS).
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The technological advancements in the automotive industry as well as in thefield of communication technologies done the last years have transformed thevehicles to complex machines that include not only electrical and mechanicalcomponents but also a great number of electronic components. Furthermore,modern vehicles are now connected to the Wide Area Network (WAN) and inthe near future communications will also be present between the cars (Vehicleto-Vehicle, V2V) and between cars and infrastructure (Vehicle-to-Infrastructure, V2I), something that can be found as Internet of Vehicles (IoV)in the literature. The main motivations towards all the aforementioned changesin modern vehicles are of course the improvement of road safety, the higherconvenience of the passengers, the increase in the efficiency and the higher userfriendliness.On the other hand, having vehicles connected to the Internet opens them up toa new domain of interest, this no other than the domain of cyber security. Thispractically means that while previously we were only considering cyber-attackson computational systems, now we need to start thinking about it also forvehicles. This, as a result, creates a new field of research, namely the vehicularcyber security. However, this field does not only include the possible vehicularcyber-attacks and their corresponding defenses but also the modeling andsimulation of them with the use of vehicular security analysis tools, which isalso recommended by the ENISA report titled “Cyber Security and Resilienceof smart cars: Good practices and recommendations”.Building on this need for vehicular security analysis tools, this work aims tocreate and evaluate a domain-specific, probabilistic modeling and simulationlanguage for cyber-attacks on modern connected vehicles. The language will bedesigned based on the existing threat modeling and risk management toolsecuriCAD® by foreseeti AB and more specifically based on its underlyingmechanisms for describing and probabilistically evaluating the cyber threats ofthe models.The outcome/final product of this work will be the probabilistic modeling andsimulation language for connected vehicles, called vehicleLang, that will beready for future use in the securiCAD® software.

Abstract [sv]

De tekniska framstegen inom fordonsindustrin såväl som inomkommunikationsteknik som gjorts de senaste åren har omvandlat fordon tillkomplexa maskiner som inte bara omfattar elektriska och mekaniskakomponenter utan också ett stort antal elektroniska komponenter. Dessutom ärmoderna fordon nu anslutna till Internet (WAN) och inom den närmasteframtiden kommer kommunikation också att etableras mellan bilarna (Vehicleto-Vehicle, V2V) och mellan bilar och infrastruktur (Vehicle-to-Infrastructure,V2I). Detta kan också kallas fordonens internet (Internet of Vehicles - IoV) ilitteraturen. De främsta motiven för alla ovannämnda förändringar i modernafordon är förstås förbättringen av trafiksäkerheten, ökad bekvämlighet förpassagerarna, ökad effektivitet och högre användarvänlighet.Å andra sidan, att ha fordon anslutna till Internet öppnar dem för en ny domän,nämligen cybersäkerhet. Då vi tidigare bara övervägde cyberattacker påtraditionella datorsystem, måste vi nu börja tänka på det även för fordon. Dettaområde omfattar emellertid inte bara de möjliga fordonsattackerna och derasmotsvarande försvar utan även modellering och simulering av dem med hjälpav verktyg för analys av fordonssäkerhet, vilket också rekommenderas avENISA-rapporten med titeln ”Cyber Security and Resilience of smart cars: Goodpractices and recommendations”.På grund av detta behov av verktyg för fordonssäkerhetsanalys syftar dettaarbete till att skapa och utvärdera ett domänspecifikt, probabilistisktmodelleringsspråk för simulering av cyberattacker på moderna anslutna fordon.Språket har utformats utifrån det befintliga hotmodellerings- ochriskhanteringsverktyget securiCAD® av foreseeti AB och mer specifikt baseratpå dess underliggande mekanismer för att beskriva och probabilistiskt utvärderamodellernas cyberhot.Resultatet/slutprodukten av detta arbete är ett probabilistisktmodelleringsspråk för uppkopplade fordon, vehicleLang.

Place, publisher, year, edition, pages
2018. , p. 80
Series
TRITA-EECS-EX ; 2018:400
Keywords [en]
Domain Specific Language, Probabilistic Modeling, Cyber Security, Threat Modeling, Attack Graphs, Vehicular Security
Keywords [sv]
Domänspecifikt språk, Probabilistisk modellering, Cybersäkerhet, Hotmodellering, Attackgrafer, Fordonsäkerhet
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-232182OAI: oai:DiVA.org:kth-232182DiVA, id: diva2:1232896
External cooperation
Foreseeti AB
Educational program
Master of Science - Network Services and Systems
Examiners
Available from: 2018-07-13 Created: 2018-07-13 Last updated: 2018-07-13Bibliographically approved

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