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Intrusion detection system based on the analysis of time intervals of CAN messages for in-vehicle network
Abstract
Controller Area Network (CAN) bus in the vehicles is a de facto standard for serial communication to provide an efficient, reliable and economical link between Electronic Control Units (ECU). However, CAN bus does not have enough security features to protect itself from inside or outside attacks. Intrusion Detection System (IDS) is one of the best ways to enhance the vehicle security level. Unlike the traditional IDS for network security, IDS for vehicle requires light-weight detection algorithm because of the limitations of the computing power of electronic devices reside in cars. In this paper, we propose a light-weight intrusion detection algorithm for in-vehicle network based on the analysis of time intervals of CAN messages. We captured CAN messages from the cars made by a famous manufacturer and performed three kinds of message injection attacks. As a result, we find the time interval is a meaningful feature to detect attacks in the CAN traffic. Also, our intrusion detection system detects all of message injection attacks without making false positive errors.
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Cited by
In-vehicle network intrusion detection using deep convolutional neural network
Song, H. M., Woo, J., & Kim, H. K. (2020) · Vehicular Communications · doi:10.1016/j.vehcom.2019.100198 · Cited by 586
Self-citationGIDS: GAN based Intrusion Detection System for In-Vehicle Network
Seo, E., Song, H. M., & Kim, H. K. (2018) · 2018 16th Annual Conference on Privacy, Security and Trust (PST) · doi:10.1109/pst.2018.8514157 · Cited by 533
Self-citationA Survey of Intrusion Detection for In-Vehicle Networks
Wu, W., Li, R., Xie, G., An, J., Bai, Y., Zhou, J., & Li, K. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2019.2908074 · Cited by 394
Javed, A. R., Rehman, S. U., Khan, M. U., Alazab, M., & G, T. R. (2021) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2021.3059881 · Cited by 331
A review on safety failures, security attacks, and available countermeasures for autonomous vehicles
Cui, J., Liew, L. S., Sabaliauskaite, G., & Zhou, F. (2019) · Ad Hoc Networks · doi:10.1016/j.adhoc.2018.12.006 · Cited by 298
Metadata
- Authors
- Song, H. M., Kim, H. R., & Kim, H. K.
- Venue
- 2016 International Conference on Information Networking (ICOIN)
- Publisher
- IEEE
- Published
- 2016-01
- Pages
- 63-68
- ISSN
- 1976-7684 (ISSN-L)
- OpenAlex
- W2296701710
- Cited by
- 447
- References
- 0
- FWCI
- 32.94
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Song, H. M., Kim, H. R., & Kim, H. K. (2016). Intrusion detection system based on the analysis of time intervals of CAN messages for in-vehicle network. 2016 International Conference on Information Networking (ICOIN). https://doi.org/10.1109/icoin.2016.7427089
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