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Trust Score-Based Malicious Vehicle Detection Scheme in Vehicular Network Environments

Wenming Wang1,2,3,*, Zhiquan Liu1, Shumin Zhang1, Guijiang Liu1

1 School of Computer and Information, Anqing Normal University, Anqing, 246133, China
2 State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China
3 Yunnan Key Laboratory of Service Computing, Yunnan University of Finance and Economics, Kunming, 650221, China

* Corresponding Author: Wenming Wang. Email: email

Computers, Materials & Continua 2024, 81(2), 2517-2545. https://doi.org/10.32604/cmc.2024.055184

Abstract

Advancements in the vehicular network technology enable real-time interconnection, data sharing, and intelligent cooperative driving among vehicles. However, malicious vehicles providing illegal and incorrect information can compromise the interests of vehicle users. Trust mechanisms serve as an effective solution to this issue. In recent years, many researchers have incorporated blockchain technology to manage and incentivize vehicle nodes, incurring significant overhead and storage requirements due to the frequent ingress and egress of vehicles within the area. In this paper, we propose a distributed vehicular network scheme based on trust scores. Specifically, the designed architecture partitions multiple vehicle regions into clusters. Then, cloud supervision systems (CSSs) verify the accuracy of the information transmitted by vehicles. Additionally, the trust scores for vehicles are calculated to reward or penalize them based on the trust evaluation model. Our proposed scheme demonstrates good scalability and effectively addresses the main cause of malicious information distribution among vehicles. Both theoretical and experimental analysis show that our scheme outperforms the compared schemes.

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Cite This Article

APA Style
Wang, W., Liu, Z., Zhang, S., Liu, G. (2024). Trust score-based malicious vehicle detection scheme in vehicular network environments. Computers, Materials & Continua, 81(2), 2517-2545. https://doi.org/10.32604/cmc.2024.055184
Vancouver Style
Wang W, Liu Z, Zhang S, Liu G. Trust score-based malicious vehicle detection scheme in vehicular network environments. Comput Mater Contin. 2024;81(2):2517-2545 https://doi.org/10.32604/cmc.2024.055184
IEEE Style
W. Wang, Z. Liu, S. Zhang, and G. Liu, “Trust Score-Based Malicious Vehicle Detection Scheme in Vehicular Network Environments,” Comput. Mater. Contin., vol. 81, no. 2, pp. 2517-2545, 2024. https://doi.org/10.32604/cmc.2024.055184



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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