Safety-aware Location Privacy in Vehicular Ad-hoc Networks

Abstract

Vehicular networks allow vehicles to exchange their states periodically to improve traffic safety. This information threatens driver's privacy. In this thesis, we preserve location privacy with a small impact on safety applications. We propose two context-based schemes which determine the appropriate situations to change pseudonyms. Privacy metrics and schemes are also discussed and compared. We modify a Monte Carlo methodology to measure the quality of service of safety applications.