Digital Twin Empowered Adaptive-Mpc for IoV Privacy-Preserving Communication in Smart Cloud
The Internet of Vehicles (IoV) is a core component of intelligent transportation systems in smart cloud, significantly enhancing traffic efficiency and reliability through real-time data sharing and collaborative decision-making. However, the high mobility of vehicles and frequent network topology changes complicate achieving secure and efficient data sharing in IoV. This work proposes an adaptive multi-party secure information-sharing framework based on digital twins (DT). Specifically, we introduce virtual representations of vehicles operating within an edge-centric DT architecture, thereby overcoming the limitations imposed by unstable physical links. Furthermore, we present a DT secure multiparty computation strategy based on a broadcast-request policy, which enables secure information sharing between vehicles in highly mobile and dynamic IoV scenarios. In addition, the proposed scheme incorporates blockchain to ensure the auditing of information sharing between virtual twin nodes. Simulation results using a consensus-based speed advisory system scenario validate the effectiveness of the proposed approach, demonstrating superior communication efficiency compared to conventional methods.
Authors
- Jun Wu (ORCID: https://orcid.org/0000-0003-2483-6980)
- Guozhi Hao (ORCID: https://orcid.org/0000-0001-6043-5290)
- Yang Hong (ORCID: https://orcid.org/0000-0003-3482-8722)
Institutions
- Waseda University (JP)
Publication Details
- Published
- 2025-05-09
- DOI
- https://doi.org/10.1109/smartcloud66068.2025.00015
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- China Scholarship Council
- Telecommunications Advancement Foundation