VPriv: Protecting Privacy in Location-Based Vehicular Services
A variety of location-based vehicular services are currently being woven into the national transportation infrastructure in many countries. These include usage- or congestion-based road pricing, traffic law enforcement, traffic monitoring, "Pay-as-you-go" insurance, and vehicle safety systems. Although such applications promise clear benefits, there are significant potential violations of the location privacy of drivers under standard implementations (i.e., GPS monitoring of cars as they drive, surveillance cameras, and toll transponders). In this paper, the authors develop and evaluate VPriv, a system that can be used by several such applications without violating the location privacy of drivers. The starting point is the observation that in many applications, some centralized server needs to compute a function of a user's path - a list of time-position tuples.