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Resilience to Intentional Electromagnetic Interference Is Required for Connected Autonomous Vehicles
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering.ORCID iD: 0000-0001-5562-3182
KTH, School of Architecture and the Built Environment (ABE), Real Estate and Construction Management. Center for Safety Research.ORCID iD: 0000-0001-7606-8771
KTH, School of Architecture and the Built Environment (ABE), Real Estate and Construction Management.ORCID iD: 0000-0001-9507-9185
2019 (English)In: IEEE transactions on electromagnetic compatibility (Print), ISSN 0018-9375, E-ISSN 1558-187X, Vol. 61, no 5, p. 1552-1559Article in journal (Refereed) Published
Abstract [en]

The connected autonomous vehicle (CAV) will never be completely autonomous; on the contrary, it will be heavily dependent on so-called vehicular ad hoc networks (VANETs) for its function. To deserve the trust of the general public, the vehicles as well as the intelligent transport system (ITS) infrastructure must be able to handle not only natural disturbances but also attacks of malicious nature. In this paper, we discuss the effects of antagonistic attacks using intentional electromagnetic interference (IEMI) and how the antagonistic nature of the threat renders probabilistic risk analysis inadequate for the defense of the vehicles and the infrastructure. Instead, we propose a shift toward resilience engineering and vulnerability analysis to manage antagonistic threats. Finally, we also give two examples of possible scenarios to illustrate the type of situations a CAV must be able to handle.

Place, publisher, year, edition, pages
IEEE, 2019. Vol. 61, no 5, p. 1552-1559
Keywords [en]
Autonomous vehicles, Electromagnetic interference, Resilience, Vehicular ad hoc networks, Risk analysis, Safety, Sensors, Connected autonomous vehicle (CAV), infrastructure to vehicle (I2V), intelligent transport system (ITS), intentional electromagnetic interference (IEMI), resilience, risk, shared autonomous vehicle (SAV), vehicle to infrastructure (V2I), vehicle to vehicle (V2V), vehicular ad hoc network (VANET), vulnerability
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:kth:diva-251028DOI: 10.1109/TEMC.2018.2866178ISI: 000498690200018Scopus ID: 2-s2.0-85052897433OAI: oai:DiVA.org:kth-251028DiVA, id: diva2:1314348
Note

QC 20190626

Available from: 2019-05-08 Created: 2019-05-08 Last updated: 2020-01-07Bibliographically approved

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Ängskog, PerNäsman, PerMattsson, Lars-Göran

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