Need Toward Privacy Preserving and Collusion Resistance in a Location Proof Updating System
Project Description:
Today's location-sensitive service relies on user's mobile device to evaluate the current location. This allows malicious users to access a restricted resource or give bogus alibis by cheating on their locations. To address this issue, we propose A Privacy-Preserving LocAtion proof Updating System (APPLAUS) in which collocated Bluetooth enabled mobile devices mutually prepare location proofs and send updates to a location proof server. Periodically changed pseudonyms are used by the mobile devices to protect source location privacy from each other, and from the location proof server. We also develop user-centric location privacy model in which individual users determine their location privacy levels and decide whether and when to accept the location proof requests. In order to defend against colluding attacks, we also present between's ranking-based and correlation clustering-based approaches for outlier detection. APPLAUS will be implemented with existing network infrastructure, and can be simply deployed in Bluetooth enabled mobile devices with little computation or power cost. Extensive experimental results show that APPLAUS will effectively provide location proofs, appreciably preserve the source location privacy, and effectively detect colluding attacks.
Skills required are Android, Java, Mobile Phone