Practical Privacy-Preserving Indoor Localization Based on Secure Two-Party Computation

We present a privacy-preserving indoor localization scheme based on received signal strength measurements, e.g., from WiFi access points. Our preserves the privacy of both client's location and service provider's database by using secure two-party computation instantiated with known cryptographic primitives, namely, Paillier encryption garbled circuits. describe number optimizations that reduce communication overheads provide theoretical evaluations these overheads. also demonstrate feasibility developing proof-of-concept implementation for Android smartphones commodity servers. This allows us to validate practical performance our show it is feasible use in certain types applications.