Privacy and Integrity Considerations in Hyperconnected Autonomous Vehicles

The rapid advances in technology can be witnessed in the emergence of cyber-physical systems that pertain to several domains of our society. In transportation, we see the emergence of self-driving vehicles that utilize a multitude of sensors and intelligent learning techniques to navigate autonomously. Such vehicles are complex cyber-physical systems that are mobile and due to their sensor and intrinsic intelligence are able to collect, analyze, and capitalize upon an unprecedented amount of fine-grained data, as well as collaborate in real time with multiple stakeholders. Although such rich data can play a key role in data-driven economies of scale, this raises questions with respect to privacy-and integrity-dependent scenarios. In this work, the feasibility of ensuring integrity, and hence safety, while preserving privacy in the emerging hyperconnected vehicle scenarios is discussed. An exemplary case study on real-time vehicle interactions pertaining to map updates exemplifies the combination of privacy-enhancing technologies with integrity-protecting mechanisms.