Wi-Fi fingerprint-based indoor localization system that protects privacy via external computing

Abstract

In order to address the issue of protecting user and server privacy when employing Paillier encryption for indoor positioning, it was thought that a portion of the computation may be outsourced to a cloud server.In addition to safeguarding user and location server privacy, the technique significantly minimized needless computation and transmission expense.The scheme's core tenet was that the server created the fingerprint database beforehand for the offline phase.In the online stage, the user paired the k-anonymity technique with Paillier encryption, and the encrypted Wi-Fi fingerprints were transmitted to the positioning server.The server aggregated the database fingerprints and the Wi-Fi fingerprints that were received.