A Supervised Blockchain for Safety and Reliability in Transportation Cyber-Physical Systems
The application of transportation cyber-physical systems is evident in intelligent traffic management, where the integration of physical infrastructure, and control technologies–facilitates real-time monitoring, optimized scheduling, safety alerts, and autonomous driving. However, transportation cyber-physical systems often employ a highly centralized architecture, which inherently exposes them to the risk of single point failures. Moreover, the advent of quantum computing presents a formidable challenge, as quantum computers can exploit the parallelism of quantum bits and quantum entanglement to swiftly decrypt conventional encryption algorithms, thereby jeopardizing system security. Blockchain technology, distinguished by its decentralized and immutable nature, offers a robust foundation of trust for transportation cyber-physical systems. It mitigates the risks associated with centralized systems and quantum computing threats. In this paper, we introduce a supervised blockchain system tailored for transportation cyber-physical systems. Our proposed system harnesses the power of group signature techniques to leverage blockchain’s supervisory capabilities. To surpass the limitations of traditional signature schemes, particularly in the face of quantum computing, we present a novel post-quantum group signature scheme. Building on this post-quantum signature scheme, we unveil a controllable anonymous blockchain model equipped with a supervision mechanism. This model strikes a delicate balance between anonymity and control, making it an ideal solution for the unique challenges faced by transportation cyber-physical systems. The resulting blockchain system is not only secure and reliable but also adaptable and anonymous, ensuring its suitability for the intricate demands of transportation cyber-physical systems.
Authors
- Haibo Yi (ORCID: https://orcid.org/0000-0002-1635-3738)
Institutions
- Shenzhen Polytechnic University (CN)
Publication Details
- Journal
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2025-05-05
- DOI
- https://doi.org/10.1109/tits.2025.3563442
- Citations
- 3
- Primary Topic
- Risk and Safety Analysis
- Type
- article
- Field-Weighted Citation Impact
- 4.20
Funders
- National Natural Science Foundation of China