Quantifying Location Privacy for Navigation Services in Sustainable Vehicular Networks

Quantifying Location Privacy for Navigation Services in Sustainable Vehicular Networks

Li, Meng (Hefei University of Technology)
Chen, Yifei (Hefei University of Technology)
Kumar, Neeraj (Thapar Institute of Engineering and Technology)
Lal, C. (TU Delft Cyber Security)
Conti, M. (TU Delft Cyber Security; University of Padua)
Alazab, Mamoun (Charles Darwin University)

2022

Current connected and autonomous vehicles will contribute to various and green vehicular services. However, sharing personal data with untrustworthy Navigation Service Providers (NSPs) raises serious location concerns. To address this issue, many Location Privacy-Preserving Mechanisms (LPPMs) have been proposed. In addition, several quantification methods have been designed to help understand location privacy and illustrate how location privacy is leaked. However, their assessment is insufficient due to the incomplete assumptions about the adversary’s model. In particular, users tend to request the same navigation routes from home to workplace and acquire traffic information along the route. An adversary can collect the coordinates of adjacent locations and infer the two true locations. In this paper, we provide a formal framework for the analysis of LPPMs in navigation services. Our framework captures extra information that is available to an adversary performing localization attacks. By formalizing the adversary’s performance, we also propose and justify two new metrics to quantify location privacy in navigation services, namely accuracy and visibility. We assess the efficacy of two popular LPPMs for location privacy, i.e., differential privacy and k-anonymity. Experimental results demonstrate that the adversary can recover users’ locations with a high probability.

Vehicular Networks
Navigation Services
Location Privacy

http://resolver.tudelft.nl/uuid:9f576287-75aa-4d59-bfdb-67ce46ae426c

https://doi.org/10.1109/TGCN.2022.3144641

2023-04-01

2473-2400

IEEE Transactions on Green Communications and Networking, 6 (3), 1267-1275

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

journal article

© 2022 Meng Li, Yifei Chen, Neeraj Kumar, C. Lal, M. Conti, Mamoun Alazab