POSTER: Context-adaptive user-centric privacy scheme for VANET

Abstract

Vehicular adhoc network allows vehicles to exchange their information for safety and traffic efficiency. However, exchanging information may threaten the driver privacy because it includes spatiotemporal information and is broadcast publicly on a periodical basis. In this paper, we propose a context-adaptive privacy scheme which lets a vehicle decide autonomously when to change its pseudonym and how long it should remain silent to ensure unlinkability. This scheme adapts dynamically based on the density of the surrounding traffic and the user privacy preferences. According to the experimental results, the proposed scheme demonstrates a significant reduction in traceability with a better quality of forward collision warning application compared with the random silent period scheme.