Reference : VPGA: an SDN-based Location Privacy Zones Placement Scheme 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/10993/40220

Title :	VPGA: an SDN-based Location Privacy Zones Placement Scheme 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 :	29-Oct-2019
Main document title :	38th IEEE International Performance Computing and Communications Conference (IPCCC)
Peer reviewed :	Yes
Audience :	International
Event name :	38th IEEE International Performance Computing and Communications Conference (IPCCC)
Event date :	29-10-2019
Event place (city) :	London
Event country :	UK
Keywords :	[en] Vehicular Networks ; Security ; Location privacy Zones ; Software Defined Networks ; Genetic Algorithm
Abstract :	[en] Making personal data anonymous is crucial to ensure the adoption of connected vehicles. One of the privacy-sensitive information is location, which once revealed can be used by adversaries to track drivers during their journey. Vehicular Location Privacy Zones (VLPZs) is a promising approach to ensure unlinkability. These logical zones can be easily deployed over roadside infrastructures (RIs) such as gas station or electric charging stations. However, the placement optimization problem of VLPZs is NP-hard and thus an efficient allocation of VLPZs to these RIs is needed to avoid their overload and the degradation of the QoS provided within theses RIs. This work considers the optimal placement of the VLPZs and proposes a genetic-based algorithm in a software defined vehicular network to ensure minimized trajectory cost of involved vehicles and hence less consumption of their pseudonyms. The analytical evaluation shows that the proposed approach is cost-efficient and ensures a shorter response time.
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Networking Research Group (NetLab)
Name of the research project :	H2020 5G-DRIVE
Target :	Researchers ; General public
Permalink :	http://hdl.handle.net/10993/40220
DOI :	10.1109/IPCCC47392.2019.8958746
Framework Programme / European Project :	H2020 ; 814956 - 5G-DRIVE - 5G HarmoniseD Research and TrIals for serVice Evolution between EU and China

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