Cited By
View all- Li YBi RJiang NLi FWang MJing X(2024)Methods and Challenges of Cryptography-Based Privacy-Protection Algorithms for Vehicular NetworksElectronics10.3390/electronics1312237213:12(2372)Online publication date: 17-Jun-2024
A Dual Mode Privacy-Preserving Scheme Enabled Secure and Anonymous for Edge Computing Assisted Internet of Vehicle Networks
Authors: 
Xu Han, Daxin Tian, Xuting Duan, Zhengguo Sheng, Jianshan Zhou, Victor C.M. LeungAuthors Info & Claims
Pages 65 - 70
Abstract
This paper adopts Named Data Network technology for data delivery/forwarding over the Internet of Vehicles (IoVs) and proposes an NDN-based architecture for IoVs based on mobile edge computing(MEC). Advanced research has demonstrated the considerable benefits of introducing MEC into IoVs, but comes with issues such as insufficient security and privacy protection problems. To address these issues, we propose a dual-mode privacy-preserving framework for the security layer of the proposed network architecture. Specifically, we construct a privacy protection identity-based broadcast proxy re-encryption scheme to provide privacy to a set of vehicles with data requests. Furthermore, we use a federated learning scheme based on local differential privacy in the proposed NDN-based architecture for MEC-empowered IoV to achieve high-speed response and decision making. Simulation results demonstrate that our proposed scheme performs effectively.
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Index Terms
- A Dual Mode Privacy-Preserving Scheme Enabled Secure and Anonymous for Edge Computing Assisted Internet of Vehicle Networks
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Published: 22 November 2021
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- National Natural Science Foundation of China
- Royal society Kan Tong Po International Fellowship
- Beijing Municipal Natural Science Foundation
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MSWiM '21: 24th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
November 22 - 26, 2021
Alicante, Spain
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Cited By
View all- Li YBi RJiang NLi FWang MJing X(2024)Methods and Challenges of Cryptography-Based Privacy-Protection Algorithms for Vehicular NetworksElectronics10.3390/electronics1312237213:12(2372)Online publication date: 17-Jun-2024
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