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Threat Modeling of Connected Vehicles: A privacy analysis and extension of vehicleLang
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering.
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering.ORCID iD: 0000-0003-3089-3885
2019 (English)In: 2019 International Conference on Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA), Oxford, United Kingdom, United Kingdom: Institute of Electrical and Electronics Engineers (IEEE), 2019Conference paper, Published paper (Refereed)
Abstract [en]

Modern vehicles contain more than a hundred Electronic Control Units (ECUs) that communicate over different in-vehicle networks. These ECUs are often connected to the Internet, which makes them vulnerable to various cyber attacks. Besides, large amounts of data are generated and communicated through vehicular networks, and some of them are sensitive for the vehicle drivers. Previously, a threat modeling language named vehicleLang was proposed for security analysis of vehicles, however, privacy issues of the vehicular data have not been thoroughly addressed. To fill the gap, this paper proposes a privacy-focused enhancement of vehicleLang, and the suggested privacy extension is evaluated by threat modeling with test cases running through the Meta Attack Language (MAL) compiler.

Place, publisher, year, edition, pages
Oxford, United Kingdom, United Kingdom: Institute of Electrical and Electronics Engineers (IEEE), 2019.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-264010DOI: 10.1109/CyberSA.2019.8899615ISBN: 978-1-7281-0232-0 (electronic)OAI: oai:DiVA.org:kth-264010DiVA, id: diva2:1371656
Conference
2019 International Conference on Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA), 3-4 June 2019, Oxford, United Kingdom, United Kingdom
Note

QC 20191125

Available from: 2019-11-20 Created: 2019-11-20 Last updated: 2019-11-25Bibliographically approved

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Xiong, WenjunLagerström, Robert

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