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Real-time jamming DoS detection in safety-critical V2V C-ITS using data mining
Halmstad University, Sweden.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.ORCID-id: 0000-0002-6032-6155
Technische Hochschule Ingolstadt, Germany and Halmstad University, Sweden.
Halmstad University, Sweden.
2019 (engelsk)Inngår i: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 23, nr 3, s. 442-445Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
IEEE, 2019. Vol. 23, nr 3, s. 442-445
Emneord [en]
C-ITS, VANET, jamming, Denial-of-Service attack, security, platooning, data mining
HSV kategori
Forskningsprogram
Kommunikations- och beräkningssystem
Identifikatorer
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
Merknad

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

Tilgjengelig fra: 2019-02-28 Laget: 2019-02-28 Sist oppdatert: 2019-04-12bibliografisk kontrollert

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