Upcoming WiFi-based localization systems for indoor environments face a conflict of privacy interests: Server-side localization violates location privacy of the users, while localization on the user's device forces the localization provider to disclose the details of the system, e.g., sophisticated classification models. We show how Secure Two-Party Computation can be used to reconcile privacy interests in a state-of-the-art localization system. Our approach provides strong privacy guarantees for all involved parties, while achieving room-level localization accuracy at reasonable overheads.
@article{arxiv.1410.3270,
title = {POSTER: Privacy-preserving Indoor Localization},
author = {Jan Henrik Ziegeldorf and Nicolai Viol and Martin Henze and Klaus Wehrle},
journal= {arXiv preprint arXiv:1410.3270},
year = {2014}
}
Comments
Poster Session of the 7th ACM Conference on Security & Privacy in Wireless and Mobile Networks (WiSec'14)