General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Executive Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
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Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2023 Vol.15(1): 38-45
DOI: 10.7763/IJCTE.2023.V15.1328

Research of Security and Reliability for In-Vehicle FlexRay Bus Network Based on Message Perception Method

Yujing Wu, Yihu Xu, Shinan Wang, Jingyi Jia, and Yinan Xu*

Manuscript received June 19, 2022; revised October 17, 2022; accepted November 3, 2022.

Abstract—The in-vehicle bus network is the main tool for transferring data between automotive electronic control systems. This study focuses on the network security of the in-vehicle FlexRay bus network. The objective is to improve the fault information detection and fault tolerant control technology of FlexRay bus network information by using advanced technologies such as big data management and optimal guaranteed performance. For the problem of fault information detection in the data layer, an anomaly detection system of information and a message perception module based on the message perception method are proposed. We are keen to capture the horizontal and vertical correlation of FlexRay bus network information. Automatic correction of fault information through up and down message perception methods achieve the goal of fault-tolerant control. We have built the Hardware-in-the-Loop Simulation (HILS) experimental architecture using bus information from real vehicles and an automotive-specific bus network design platform. The security and operability of the proposed anomaly detection system of information and fault tolerance control scheme are verified. The experimental simulation results show that the detection accuracy of anomaly information in the vehicle FlexRay bus network reaches 99%.

Index Terms—In-vehicle network security, FlexRay, anomaly detection of information, message perception, fault-tolerant control

Yujing Wu and Yihu Xu are the first authors, and Yinan Xu is the corresponding author.
The authors are with the College of Engineering of Yanbian University, Yanji 133002, China.


Cite:Yujing Wu, Yihu Xu, Shinan Wang, Jingyi Jia, and Yinan Xu, "Research of Security and Reliability for In-Vehicle FlexRay Bus Network Based on Message Perception Method," International Journal of Computer Theory and Engineering vol. 15, no. 1, pp. 38-45, 2023.

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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