A Cross-Layer and Optimized Privacy Method in Vehicular Ad-Hoc Networks

Vehicular networks has been recently proposed to connect vehicles and form ad-hoc networks. Many safety and information-entertainment related applications have thus been proposed. These applications, however, potentially have unique privacy challenges. 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 cross-layer privacy protection protocols including initialization, joining and exiting protocols. In addition, we also analytically discuss the optimization of the quantity of pseudonyms to save costs. The analytical and numerical results showed the effectiveness of the proposed methods.