Recommendation-based Trust Model for Vehicle-to-Everything (V2X)

Alnasser, Aljawharah, Sun, Hongjian and Jiang, Jing (2020) Recommendation-based Trust Model for Vehicle-to-Everything (V2X). IEEE Internet of Things Journal, 7 (1). pp. 440-450. ISSN 2327-4662

bare_jrnl.pdf - Accepted Version

Download (1MB) | Preview
Official URL:


Intelligent Transportation System (ITS) is one of the main systems which have been developed to achieve safe traffic and efficient transportation. It enables the vehicles to establish connections with other road entities and infrastructure
units using Vehicle-to-Everything (V2X) communications. As a consequence, all road entities become exposed to either internal or external attacks. Internal attacks cannot be detected by traditional security schemes. In this paper, a recommendation based trust model for V2X communications is proposed to defend against internal attacks. Four types of malicious attacks are analysed. In addition, we conduct various experiments with different percentage of malicious nodes to measure the performance of the proposed model. In comparison with the existing model, the proposed model shows an improvement in the network throughput and the detection rate for all types of considered malicious behaviors. Our model improves the Packet Dropping Rate (PDR) with 36% when the percentage of malicious nodes is around 87.5%.

Item Type: Article
Uncontrolled Keywords: Trust, V2X, Recommendation, Attack
Subjects: G600 Software Engineering
G700 Artificial Intelligence
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Elena Carlaw
Date Deposited: 28 Oct 2019 11:05
Last Modified: 31 Jul 2021 19:04

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics