ABSTRACT
Abstract As one of the promising branches of the Internet of Things (IoT), the Internet of Vehicles (IoV) is envisioned to serve as an essential data sensing, exchanging, and processing platform for future intelligent transportation systems (ITS). In this chapter, we aim to address the location privacy issue in the IoV by leveraging the mobility social features of vehicles. In traditional pseudonym-based solutions, the privacy-preserving strength is mainly dependent on the number of vehicles meeting at the same occasion. We notice that an individual vehicle actually has many chances to meet several other vehicles. In most meeting occasions, there are only a few vehicles appearing concurrently. Motivated by these observations, we propose a new privacy-preserving scheme, called MixGroup, which is capable of efficiently exploiting the sparse meeting opportunities for pseudonym changing. By integrating the group signature mechanism,
MixGroup constructs extended pseudonym-changing regions, in which vehicles are allowed to successively exchange their pseudonyms. As a consequence, for the tracking adversary, the uncertainty of the pseudonym mixture is cumulatively enlarged, and therefore location privacy preservation is considerably improved. We carry out simulations to verify the performance of MixGroup. Results indicate that MixGroup significantly outperforms the existing schemes. In addition, MixGroup is able to achieve a favorable performance even in low traffic conditions.
