Reference : SDN-based Misbehavior Detection System for Vehicular Networks

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/42449

Title :	SDN-based Misbehavior Detection System for Vehicular Networks
Language :	English
Author, co-author :	Boualouache, Abdelwahab [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Soua, Ridha [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Engel, Thomas [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	May-2020
Main document title :	2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
Peer reviewed :	Yes
Audience :	International
Event name :	2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
Event date :	from 25-05-2020 to 28-05-2020
Event place (city) :	Antwerp
Event country :	Belgium
Keywords :	[en] Vehicular Networks ; Software Defined Networks ; Security ; Privacy ; Misbehavior Detection Systems
Abstract :	[en] Vehicular networks are vulnerable to a variety of internal attacks. Misbehavior Detection Systems (MDS) are preferred over the cryptography solutions to detect such attacks. However, the existing misbehavior detection systems are static and do not adapt to the context of vehicles. To this end, we exploit the Software-Defined Networking (SDN) paradigm to propose a context-aware MDS. Based on the context, our proposed system can tune security parameters to provide accurate detection with low false positives. Our system is Sybil attack-resistant and compliant with vehicular privacy standards. The simulation results show that, under different contexts, our system provides a high detection ratio and low false positives compared to a static MDS.
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Networking Research Group (NetLab)
Funders :	European Commission - EC
Name of the research project :	H2020 5G-DRIVE
Target :	Researchers
Permalink :	http://hdl.handle.net/10993/42449
Framework Programme / European Project :	H2020 ; 814956 - 5G-DRIVE - 5G HarmoniseD Research and TrIals for serVice Evolution between EU and China

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