Distributed Incentive-Based Secured Traffic Monitoring in VANETs
Vehicular Ad-hoc Networks (VANETs) allow vehicles to share traffic-related events such as congestion to improve the driver's safety and comfort. However, due to the untrusted vehicular network environment, determining the credibility of broadcast messages becomes crucial and challenging. In this paper, we propose an incentive-based distributed trust management system with a secure event detection model employing the Byzantine fault-Tolerant Paxos algorithm and game theory. The novelty of the proposed model lies in its ability to validate the accuracy of the broadcast information when the malicious vehicles form the majority compared to non-malicious vehicles within the ROI, unlike the state-of-The-Art models. The proposed system's feasibility and effectiveness have been validated using the VENTOS, SUMO, and Omnet++ simulators by comprehensively addressing all possible use-case scenarios, and under the influence of at least one non-malicious vehicle at each RSU.
A. Roy and S. K. Madria, "Distributed Incentive-Based Secured Traffic Monitoring in VANETs," Proceedings of the 21st IEEE International Conference on Mobile Data Management (2020, Versailles, France), pp. 49 - 58, Institute of Electrical and Electronics Engineers (IEEE), Jul 2020.
The definitive version is available at https://doi.org/10.1109/MDM48529.2020.00026
21st IEEE International Conference on Mobile Data Management, MDM 2020 (2020: Jun. 30-Jul. 3, Versailles, France)
Center for High Performance Computing Research
Second Research Center/Lab
Intelligent Systems Center
Keywords and Phrases
Byzantine; Paxos; Trust Management; VANET
International Standard Book Number (ISBN)
International Standard Serial Number (ISSN)
Article - Conference proceedings
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03 Jul 2020