A Double-Layer Blockchain Based Trust Management Model for Secure Internet of Vehicles

Journal article

Ruan, W., Liu, J., Chen, Y., Islam, S.M. N. and Alam, M. (2023). A Double-Layer Blockchain Based Trust Management Model for Secure Internet of Vehicles. Sensors. 23 (10), p. 4699. https://doi.org/10.3390/s23104699
AuthorsRuan, W., Liu, J., Chen, Y., Islam, S.M. N. and Alam, M.
AbstractThe Internet of Vehicles (IoV) enables vehicles to share data that help vehicles perceive the surrounding environment. However, vehicles can spread false information to other IoV nodes; this incorrect information misleads vehicles and causes confusion in traffic, therefore, a vehicular trust model is needed to check the trustworthiness of the message. To eliminate the spread of false information and detect malicious nodes, we propose a double-layer blockchain trust management (DLBTM) mechanism to objectively and accurately evaluate the trustworthiness of vehicle messages. The double-layer blockchain consists of the vehicle blockchain and the RSU blockchain. We also quantify the evaluation behavior of vehicles to show the trust value of the vehicle’s historical behavior. Our DLBTM uses logistic regression to accurately compute the trust value of vehicles, and then predict the probability of vehicles providing satisfactory service to other nodes in the next stage. The simulation results show that our DLBTM can effectively identify malicious nodes, and over time, the system can recognize at least 90% of malicious nodes.
KeywordsElectrical and Electronic Engineering; Biochemistry; Instrumentation; Atomic and Molecular Physics, and Optics; Analytical Chemistry
Year2023
JournalSensors
Journal citation23 (10), p. 4699
PublisherMDPI AG
ISSN1424-8220
Digital Object Identifier (DOI)https://doi.org/10.3390/s23104699
Funder/ClientKey Research and Development Program of Zhejiang Province
Publication dates
Online12 May 2023
Publication process dates
Accepted03 May 2023
Deposited22 May 2023
Publisher's version
License
File Access Level
Open
Licensehttps://creativecommons.org/licenses/by/4.0/
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