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Article

Edge Computing and Blockchain for Quick Fake News Detection in IoV

School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
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Author to whom correspondence should be addressed.
Sensors 2020, 20(16), 4360; https://doi.org/10.3390/s20164360
Received: 30 June 2020 / Revised: 26 July 2020 / Accepted: 31 July 2020 / Published: 5 August 2020
(This article belongs to the Special Issue Applications of IoT and Machine Learning in Smart Cities)
The dissemination of false messages in Internet of Vehicles (IoV) has a negative impact on road safety and traffic efficiency. Therefore, it is critical to quickly detect fake news considering news timeliness in IoV. We propose a network computing framework Quick Fake News Detection (QcFND) in this paper, which exploits the technologies from Software-Defined Networking (SDN), edge computing, blockchain, and Bayesian networks. QcFND consists of two tiers: edge and vehicles. The edge is composed of Software-Defined Road Side Units (SDRSUs), which is extended from traditional Road Side Units (RSUs) and hosts virtual machines such as SDN controllers and blockchain servers. The SDN controllers help to implement the load balancing on IoV. The blockchain servers accommodate the reports submitted by vehicles and calculate the probability of the presence of a traffic event, providing time-sensitive services to the passing vehicles. Specifically, we exploit Bayesian Network to infer whether to trust the received traffic reports. We test the performance of QcFND with three platforms, i.e., Veins, Hyperledger Fabric, and Netica. Extensive simulations and experiments show that QcFND achieves good performance compared with other solutions. View Full-Text
Keywords: fake news detection; edge computing; permissioned blockchain; Bayesian networks; Internet of vehicles fake news detection; edge computing; permissioned blockchain; Bayesian networks; Internet of vehicles
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MDPI and ACS Style

Xiao, Y.; Liu, Y.; Li, T. Edge Computing and Blockchain for Quick Fake News Detection in IoV. Sensors 2020, 20, 4360. https://doi.org/10.3390/s20164360

AMA Style

Xiao Y, Liu Y, Li T. Edge Computing and Blockchain for Quick Fake News Detection in IoV. Sensors. 2020; 20(16):4360. https://doi.org/10.3390/s20164360

Chicago/Turabian Style

Xiao, Yonggang, Yanbing Liu, and Tun Li. 2020. "Edge Computing and Blockchain for Quick Fake News Detection in IoV" Sensors 20, no. 16: 4360. https://doi.org/10.3390/s20164360

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