Reference : Software-Defined Location Privacy Protection for Vehicular Networks
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Security, Reliability and Trust
http://hdl.handle.net/10993/46666
Software-Defined Location Privacy Protection for Vehicular Networks
English
Boualouache, Abdelwahab mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI Engel >]
Soua, Ridha mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Qiang, Tang mailto [Luxembourg Institute of Science & Technology - LIST > IT for Innovative services]
Engel, Thomas mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
2021
Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
Boualouache, Abdelwahab mailto
Soua, Ridha mailto
Qiang, Tang mailto
Engel, Thomas mailto
Springer
Yes
No
International
978-3-030-72064-3
Book "Machine Intelligence and Data Analytics for Sustainable Future Smart Cities"
2021
[en] Vehicular Networks ; Software defined networking ; Privacy
[en] While the adoption of connected vehicles is growing, security and privacy concerns are still the key barriers raised by society. These concerns mandate automakers and standardization groups to propose convenient solutions for privacy preservation. One of the main proposed solutions is the use of Pseudonym-Changing Strategies (PCSs). However, ETSI has recently published a technical report which highlights the absence of standardized and efficient PCSs [1]. This alarming situation mandates an innovative shift in the way that the privacy of end-users is
protected during their journey. Software Defined Networking (SDN) is emerging as a key 5G enabler to manage the network in a dynamic manner. SDN-enabled wireless networks are opening up new programmable and highly-flexible privacy-aware solutions. We exploit this paradigm to propose an innovative software-defined location privacy architecture for vehicular networks. The proposed architecture is context-aware, programmable, extensible, and able to encompass all existing and future pseudonym-changing strategies. To demonstrate the merit of our architecture, we consider a case study that involves four pseudonym-changing strategies, which we deploy over our architecture and compare with their static implementations. We
also detail how the SDN controller dynamically switches between the strategies according to the context.
825496 - 5G-MOBIX - 5G for cooperative & connected automated MOBIility on X-border corridors
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/46666
H2020 ; 814956 - 5G-DRIVE - 5G HarmoniseD Research and TrIals for serVice Evolution between EU and China

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