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.

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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

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article

Digital Twin Empowered Adaptive-Mpc for IoV Privacy-Preserving Communication in Smart Cloud

Jun Wu, Guozhi Hao, Yang Hong
IoT and Edge/Fog Computing
article

Digital Twin Empowered Adaptive-Mpc for IoV Privacy-Preserving Communication in Smart Cloud

Jun Wu, Guozhi Hao, Yang Hong
article en

Abstract

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.

Waseda University (JP)
China Scholarship Council, Telecommunications Advancement Foundation
Openalex Percentile: Top 89%
IoT and Edge/Fog Computing
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