Location-Privacy Leakage and Integrated Solutions for 5G Cellular Networks and Beyond
Tomasin, Stefano (National Inter-University Consortium for Telecommunications)
Centenaro, Marco (University of Padova)
Seco-Granados, Gonzalo (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)
Roth, Stefan (Ruhr-Universität Bochum)
Sezgin, Aydin (Ruhr-Universität Bochum)

Data:	2021
Resum:	The fifth generation (5G) of cellular networks improves the precision of user localization and provides the means to disclose location information to over-the-top (OTT) service providers. The network data analytics function (NWDAF) can further elaborate this information at an aggregated level using artificial intelligence techniques. These powerful features may lead to the improper use of user location information by mobile network operators (MNOs) and OTT service providers. Moreover, vulnerabilities at various layers may also leak user location information to eavesdroppers. Hence, the privacy of users is likely at risk, as location is part of their sensitive data. In this paper, we first go through the evolution of localization in cellular networks and investigate their effects on location privacy. Then, we propose a location-privacy-preserving integrated solution comprising virtual private mobile networks, an independent authentication and billing authority, and functions to protect wireless signals against location information leakage. Moreover, we advocate the continuous and detailed control of localization services by the user.
Ajuts:	Agencia Estatal de Investigación PID2020-118984GB-I00
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Privacy ; Cellular networks ; Localization ; 5G
Publicat a:	Sensors (Basel, Switzerland), Vol. 21, Num. 15 (July 2021) , art. 5176, ISSN 1424-8220

DOI: 10.3390/s21155176
PMID: 34372414

14 p, 654.3 KB

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