Abstract

The Internet of Vehicles is the Internet of Things where “things” refer to vehicles. Due to its huge amount of shared data and various types of offered services, relying on the use of Cloud as infrastructure is fundamental. Most of road services, regardless of whether they are of an infotainment or a safety type, use location and identity information. As a consequence, the Privacy of road users is threatened, and therefore preserving such privacy and safety has also become essential. This chapter presents an overview of existing privacy-preserving strategies and develops a proposal for a novel solution which allows its users to benefit from cloud-enabled IoV location-based services and safety applications, anonymously and securely. The performance of the proposed solution is studied by simulating it against a modeled global passive attacker and comparing it to a state-of-the-art solution. The results are optimistic and out-perform the ones compared with. The scheme ensures that the privacy is preserved with more than 70% against semantic, syntactic, observation mapping, and linkage mapping attacks.