A cross-layer and optimized privacy method in Vehicular ad-hoc Networks

Many safety and information-entertainment applications have thus been proposed for Vehicular Networks in which vehicles connect to each other and form networks. Unfortunately, increasing presence of network exposes more potential risks for privacy. Some privacy issues are unique challenges comparing. For example, the vehicle's network identity is strictly linked to the owner's identity due to the insurance liability. In this paper, we propose multi-layer privacy protection protocols including initialization, joining and exiting protocols. We also discuss the costs of the quantity of pseudonyms. The numerical results show the effectiveness of the proposed methods.