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A dual mode privacy-preserving scheme enabled secure and anonymous for edge computing assisted internet of vehicle networks
conference contribution
posted on 2023-06-10, 02:48 authored by Xu Han, Daxin Tian, Xuting Duan, Zhengguo ShengZhengguo Sheng, Jianshan Zhou, Victor C M LeungThis 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.
History
Publication status
- Published
File Version
- Accepted version
Journal
DIVANet '21: Proceedings of the 11th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and ApplicationsPublisher
ACMExternal DOI
Page range
65-70Event name
MSWiM '21: 24th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile SystemsEvent location
SpainEvent type
conferenceEvent date
22nd - 26th November 2021Place of publication
New York, NY, United StatesISBN
9781450390774Department affiliated with
- Engineering and Design Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2022-03-04First Open Access (FOA) Date
2022-03-04First Compliant Deposit (FCD) Date
2022-03-04Usage metrics
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