The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
A Survey of Intrusion Detection for In-Vehicle Networks
Abstract
The development of the complexity and connectivity of modern automobiles has caused a massive rise in the security risks of in-vehicle networks (IVNs). Nevertheless, existing IVN designs (e.g., controller area network) lack cybersecurity consideration. Intrusion detection, an effective method for defending against cyberattacks on IVNs while providing functional safety and real-time communication guarantees, aims to address this issue. Therefore, the necessity of its research has risen. In this paper, an IVN environment is introduced, and the constraints and characteristics of an intrusion detection system (IDS) design for IVNs are presented. A survey of the proposed IDS designs for the IVNs is conducted, and the corresponding drawbacks are highlighted. Various optimization objectives are considered and comprehensively compared. Lastly, the trend, open issues, and emerging research directions are described.
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Cites
Context Aware Computing for The Internet of Things: A Survey
Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.042313.00197 · Cited by 2,861 · cited 1×
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Davis, R. I., Burns, A., Bril, R. J., & Lukkien, J. J. (2007) · Real-Time Systems · doi:10.1007/s11241-007-9012-7 · Cited by 786
Potential cyberattacks on automated vehicles
Petit, J., & Shladover, S. E. (2014) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2014.2342271 · Cited by 779
A survey of intrusion detection techniques for cyber-physical systems
Mitchell, R., & Chen, I.-R. (2014) · ACM Computing Surveys · doi:10.1145/2542049 · Cited by 768
A Practical Wireless Attack on the Connected Car and Security Protocol for In-Vehicle CAN
Woo, S., Jo, H. J., & Lee, D. H. (2014) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2014.2351612 · Cited by 495
Fingerprinting electronic control units for vehicle intrusion detection
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Cited by
Ashraf, J., Bakhshi, A. D., Moustafa, N., Khurshid, H., Javed, A., & Beheshti, A. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.3017882 · Cited by 295
LITNET-2020: An Annotated Real-World Network Flow Dataset for Network Intrusion Detection
Damasevicius, R., Venckauskas, A., Grigaliunas, S., Toldinas, J., Morkevicius, N., Aleliunas, T., & Smuikys, P. (2020) · Electronics · doi:10.3390/electronics9050800 · Cited by 132
Alalwany, E., & Mahgoub, I. (2022) · Sensors · doi:10.3390/s22239195 · Cited by 36
Aero: Automotive ethernet real-time observer for anomaly detection in in-vehicle networks
Jeong, S., Kim, H. K., Han, M. L., & Kwak, B. I. (2024) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2023.3324949 · Cited by 31
Metadata
- Authors
- Wu, W., Li, R., Xie, G., An, J., Bai, Y., Zhou, J., & Li, K.
- Venue
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2020-03
- Volume
- 21
- Issue
- 3
- Pages
- 919-933
- ISSN
- 1524-9050 (ISSN-L)
- 1558-0016
- OpenAlex
- W2945012921
- Cited by
- 394
- References
- 48
- FWCI
- 21.48
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wu, W., Li, R., Xie, G., An, J., Bai, Y., Zhou, J., & Li, K. (2020). A Survey of Intrusion Detection for In-Vehicle Networks. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2019.2908074
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