Resilience to Intentional Electromagnetic Interference Is Required for Connected Autonomous Vehicles
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) infra...
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Published in | IEEE transactions on electromagnetic compatibility Vol. 61; no. 5; pp. 1552 - 1559 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.10.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
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Abstract | 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. |
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AbstractList | 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. |
Author | Angskog, Per Nasman, Per Mattsson, Lars-Goran |
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Snippet | The connected autonomous vehicle (CAV) will never be completely autonomous; on the contrary, it will be heavily dependent on so-called vehicular ad hoc... |
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SubjectTerms | Autonomous vehicles Connected autonomous vehicle (CAV) Electromagnetic interference Hållbar stadsutveckling infrastructure to vehicle (I2V) intelligent transport system (ITS) Intelligent transportation systems intentional electromagnetic interference (IEMI) Mobile ad hoc networks Resilience risk Risk analysis Safety Sensors shared autonomous vehicle (SAV) Sustainable Urban Development Threat evaluation vehicle to infrastructure (V2I) vehicle to vehicle (V2V) Vehicle-to-infrastructure Vehicles vehicular ad hoc network (VANET) Vehicular ad hoc networks vulnerability |
Title | Resilience to Intentional Electromagnetic Interference Is Required for Connected Autonomous Vehicles |
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