Integrated Blockchain and Federated Learning for Robust Security in Internet of Vehicles Networks

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成果类型：

期刊论文

作者：

He, Zhikai;Xu, Rui;Wang, Binyu;Meng, Qisong;Tang, Qiang;...

通讯作者：

Duan, JY

作者机构：

[He, Zhikai] Changsha Univ Sci & Technol, Sch Mech & Vehicle Engn, Changsha 410114, Peoples R China.

[Xu, Rui; Meng, Qisong] Changsha Univ Sci & Technol, Chengnan Coll, Changsha 410114, Peoples R China.

[Wang, Binyu] Georgia Inst Technol, Sch City & Reg Planning, Atlanta, GA 30332 USA.

[Tang, Qiang] Anhui Univ Sci & Technol, Sch Artificial Intelligence, Hefei 231131, Peoples R China.

[Shen, Li] Beijing Inst Technol, Sch Informat & Elect, Beijing 100080, Peoples R China.

通讯机构：

[Duan, JY ] B

Beihang Univ, Sch Transportat Sci & Engn, Beijing 100080, Peoples R China.

语种：

英文

关键词：

Internet of Vehicles;blockchain;federated learning;cybersecurity;distributed systems

期刊：

Symmetry

ISSN：

2073-8994

年：

2025

卷：

期：

页码：

1168-

DOI：

10.3390/sym17071168

基金类别：

This work was supported in part by the “Lingyan” R&D Program of Zhejiang Province (No. 2023C01238), in part by the “Jianbing” R&D Program of Zhejiang Province (No. 2023C01133), and in part by the Key R&D Program of Jiaxing City (No. 2023BZ10002).

机构署名：

本校为第一机构

院系归属：

城南学院

摘要：

The Internet of Vehicles (IoV) operates in an environment characterized by asymmetric security threats, where centralized vulnerabilities create a critical imbalance that can be disproportionately exploited by attackers. This study addresses this imbalance by proposing a symmetrical security framework that integrates Blockchain and Federated Learning (FL) to restore equilibrium in the Vehicle-Road-Cloud ecosystem. The evolution toward sixth-generation (6G) technologies amplifies both the potential of vehicle-to-everything (V2X) communications and its inherent security risks. The proposed frame...

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Integrated Blockchain and Federated Learning for Robust Security in Internet of Vehicles Networks

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