Provided by: RWSoftware
Date Added: Oct 2014
Upcoming Wi-Fi-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. The authors show how secure two-party computation can be used to reconcile privacy interests in a state-of-the-art localization system. Their approach provides strong privacy guarantees for all involved parties, while achieving room-level localization accuracy at reasonable overheads.