POSTER: Privacy-preserving Indoor Localization

Upcoming WiFi-based localization systems for indoor envi-ronments face a conflict of privacy interests: Server-side lo-calization violates location privacy of the users, while local-ization on the user’s device forces the localization provider to disclose the details of the system, e.g., sophisticated clas-sification models. We show how Secure Two-Party Compu-tation 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. 1