Modelling the privacy landscape of the Internet of Vehicles

Within the dynamic realm of Intelligent Transportation Systems (ITS), the Internet of Vehicles (IoV) marks a significant paradigm shift. IoV is an interconnected network of vehicles, infrastructures, and the Internet, driven by wireless communication technologies. This paper dissects the privacy landscapes of ITS and IoV, exploring gaps and redundancies in standards and academic literature. We do so by leveraging European Telecommunications Standards Institute (ETSI) ITS G5 standards and IoV analyses from literature, and building two relational models to depict said privacy landscapes. A macroscopic analysis reveals structural and thematic differences: ITS, governed by established standards, has a robust structure, while IoV, in its nascent stage, lacks formalisation. A detailed analysis highlights challenges in data collection, sharing, and privacy policies. As ITS transitions to IoV, increasing data volume demands enhanced privacy safeguards. Addressing these challenges requires collaborative efforts to develop comprehensive privacy policies, prioritise user awareness, and integrate privacy-by-design principles. This paper offers insights into navigating the evolving landscape of transportation technologies, laying the groundwork for privacy-preserving ITS and IoV ecosystems.