Publication

NEXUS: Using Geo-fencing Services without revealing your Location

Michael Guldner, Torsten Spieldenner, René Schubotz

In: Proceedings of the 2018 Global Internet of Things Summit. Global Internet of Things Summit (GIoTS-2018) June 4-7 Bilbao Spain IEEE Communications Society 2018.

Abstract

While becoming more and more present in our every day lives, services that operate on users' locations or location trajectories suffer from general fear of misappropriation of the transmitted location data. Several works have investigated of how to cope with this drawback. Respective systems claim location-privacy, i.e. keeping users' locations secret, by employing anonymisation techniques concerning a user's identity, or by obfuscating the transmitted location. These approaches lead to a degrade of quality-of-service and can be vulnerable to de-anonymisation attacks, or allow to learn at least the approximate location of a user. Focusing on the application domain of geo-fencing, we present as remedy a protocol that is based on homomorphic encryption of a user's location. The protocol provably provides full location-privacy by non-exposure of the users' location data, while producing exact geo-fencing results. We provide a detailed definition of the protocol, show its applicability in an actual geo-fencing application, and show that the resulting system fulfills all security properties we see for a location-privacy preserving system.

Projekte

bare_conf_(1).pdf (pdf, 268 KB) NEXUS_accepted.pdf (pdf, 274 KB)

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz