Volume 9 Number 2 (Apr. 2020)
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IJCCE 2020 Vol.9(2): 97-104 ISSN: 2010-3743
DOI: 10.17706/IJCCE.2020.9.2.97-104

Study of In-Vehicle CAN Bus Network Security Based on Tamper Attack Detection Method

Shi-Yi Jin, Shi-Nan Wang, Yu-Jing Wu, Yi-Nan Xu
Abstract—With the maturity of intelligent and networking technology of automobiles, automobiles enhance driving pleasure by connecting to the Internet, Bluetooth and mobile phones. At the same time, it brings security problems such as security vulnerabilities and attacks from hacker, which can seriously affect the driving safety and public safety. The in-vehicle network system is no longer an independent and a secure network system. Therefore, how to ensure the safety and reliability of the in-vehicle network is one of the most serious problems to be solved in the current intelligent automobile industry. This paper uses statistical analysis method to analyze the change range of CAN bus data. And proposes a CAN bus intrusion detection method to detect tampering attacks. Based on the actual vehicle bus information and the experimental verification of the CANoe simulation platform, an intrusion detection method which can effectively detect the tampering attack of the CAN bus is proposed.

Index Terms—CAN, network security, intrusion detection, statistical analysis, change range.

Shi-Yi Jin, Shi-Nan Wang, Yu-Jing Wu, and Yi-Nan Xu are with Division of Electronic and Communication Engineering, College of Engineering, Yanbian University, Yanji 133002, China.

Cite:Shi-Yi Jin, Shi-Nan Wang, Yu-Jing Wu, Yi-Nan Xu, "Study of In-Vehicle CAN Bus Network Security Based on Tamper Attack Detection Method," International Journal of Computer and Communication Engineering vol. 9, no. 2, pp. 97-104, 2020.

Copyright © 2020 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).

General Information

ISSN: 2010-3743 (Online)
Abbreviated Title: Int. J. Comput. Commun. Eng.
Frequency: Quarterly
Editor-in-Chief: Dr. Maode Ma
Abstracting/ Indexing: EI (INSPEC, IET), Google Scholar, Crossref, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcce@iap.org
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