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Real-time jamming DoS detection in safety-critical V2V C-ITS using data mining
Halmstad University, Sweden.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-6032-6155
Technische Hochschule Ingolstadt, Germany and Halmstad University, Sweden.
Halmstad University, Sweden.
2019 (English)In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 23, no 3, p. 442-445Article in journal (Refereed) Published
Abstract [en]

A data mining-based method for real-time detection of radio jamming Denial-of-Service (DoS) attacks in IEEE 802.11p vehicle-to-vehicle (V2V) communications is proposed. The method aims at understanding the reasons for losses of periodic cooperative awareness messages (CAM) exchanged by vehicles in a platoon. Detection relies on a knowledge of IEEE 802.11p protocols rules as well as on historical observation of events in the V2V channel. In comparison to the state-of-theart method, the proposed method allows operating under the realistic assumption of random jitter accompanying every CAM transmission. The method is evaluated for two jamming models: random and ON-OFF.

Place, publisher, year, edition, pages
IEEE, 2019. Vol. 23, no 3, p. 442-445
Keywords [en]
C-ITS, VANET, jamming, Denial-of-Service attack, security, platooning, data mining
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-73069DOI: 10.1109/LCOMM.2019.2894767ISI: 000461240300014Scopus ID: 2-s2.0-85062972118OAI: oai:DiVA.org:ltu-73069DiVA, id: diva2:1292592
Note

Validerad;2019;Nivå 2;2019-04-04 (svasva)

Available from: 2019-02-28 Created: 2019-02-28 Last updated: 2019-04-12Bibliographically approved

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Kleyko, Denis

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  • apa
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  • nn-NB
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  • Other locale
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Output format
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