Towards Privacy-Preserving Connected Vehicles: A Blockchain Approach for Vehicle Identity Management and Data Sharing

As vehicular connectivity and digitisation surge, escalating data transmission to Original Equipment Manufacturers (OEMs) and public authorities is vital for the digital transition, for applications from legal compliance to traffic management. Amidst burgeoning data-sharing ecosystems, ensuring secure, private data transmission and General Data Protection Regulation (GDPR) compliant user control over vehicle identity and data-sharing permissions becomes pivotal, barring legal and enforcement exceptions. This research explores employing blockchain technology to safeguard privacy and security within a Vehicle Identity Management system, using CO2 emissions monitoring as an exemplar. Utilising an emulation-based environment, replicating vehicle interactions with European authorities and the European Commission (EC), the study demonstrates that blockchain systems, specifically for CO2 emissions monitoring, can meet transaction rate and latency demands of large-scale transport applications, accommodating 280 million vehicles reporting annually. This inquiry not only amplifies understanding of blockchain’s applicability in connected transportation systems and secure data exchange among vehicles, authorities, and stakeholders but also lays groundwork for future advancements in trustful, efficient, and secure data interchange, potentially benefiting authorities, industry, and end-users alike.

O'BRIEN Dermot;  CHRISTARAS Vasileios;  KOUNELIS Ioannis;  NAI FOVINO Igor;  FONTARAS Georgios; 

2025-10-23

SPRINGER SCIENCE AND BUSINESS MEDIA DEUTSCHLAND GMBH

JRC137702

2196-5552 (online),   

https://link.springer.com/chapter/10.1007/978-3-032-06763-0_51,    https://link.springer.com/book/10.1007/978-3-032-06763-0,    https://publications.jrc.ec.europa.eu/repository/handle/JRC137702,   

10.1007/978-3-032-06763-0_51 (online),    10.1007/978-3-032-06763-0,