Acknowledgement
This work was supported by Industrial Technology Challenge Track of the Ministry of Trade, Industry and Energy (MOTIE) / Korea Evaluation Institute of Industrial Technology (KEIT). (20012624) It was supported by the R&D Program of the Ministry of Trade, Industry, and Energy (MOTIE) and Korea Evaluation Institute of Industrial Technology (KEIT). (20008417, RS-2022-00155731)
References
- T. Hoppe, S. Kiltz, and J. Dittmann, "Security threats to automotive CAN networks - Practical examples and selected short-term countermeasures," Reliability Engineering & System Safety, vol.96, no.1, pp.11-25, 2011. DOI: 10.1016/j.ress.2010.06.026
- E. Aliwa, C. Perera, and O. Rana, "Cyberattacks and Countermeasures For In-Vehicle Networks," ACM Computing Surveys, vol.54, no.1, pp.1-37, 2020. DOI: 10.1145/3431233
- A. Theissler, "Anomaly detection in recordings from in-vehicle networks," Proceedings of International Workshop on Big Data Applications and Principles, pp.1-10, 2014.
- A. Tomlinson, J. Bryans, and S. Shaikh, "Using a one-class compound classifier to detect in-vehicle network attacks," Proceedings of Genetic and Evolutionary Computation Conference, pp.1926-1929, 2018. DOI: 10.1145/3205651.3208223
- D. Tian, Y. Li, Y. Wang, X. Duan, C. Wang, W. Wang, R. Hui, and P. Guo, "An intrusion detection system based on machine learning for CAN-Bus," Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, vol.221, pp.285-294, 2018. DOI: 10.1007/978-3-319-74176-5_25
- M. Kang and J. Kang, "Intrusion detection system using deep neural network for in-vehicle network security," PLoS ONE, vol.11, no.6, pp.1-17, 2016. DOI: 10.1371/journal.pone.0155781
- E. Seo, H. Song, and H. Kim, "GIDS: GAN-Based Intrusion Detection System for In-Vehicle Network," Proceedings of Annual Conference on Privacy, Security and Trust, pp.1-6, 2018. DOI: 10.1109/PST.2018.8514157
- H. Song, J. Woo, and H. Kim, "In-vehicle network intrusion detection using deep convolutional neural network," Vehicular Communications, vol.21, pp.100198, 2020. DOI: 10.1016/j.vehcom.2019.100198
- T. Kang, J. Lee, and S. Lee, "Counterattack Method against Hacked Node in CAN Bus Physical Layer," j.inst.Korean.electr.electron.eng., vol.23, no.4, pp.1469-1472, 2019. DOI: 10.7471/ikeee.2019.23.4.1469
- H. Song, H. Kim, and H. Kim, "Intrusion detection system based on the analysis of time intervals of CAN messages for in-vehicle network," Proceedings of International Conference on Information Networking, pp.63-68, 2016. DOI: 10.1109/ICOIN.2016.7427089
- D. Stabil, M. Marchetti, and M. Colajanni, "Detecting Attacks to Internal Vehicle Networks through Hamming Distance," Proceedings of AEIT International Annual Conference, pp.1-6, 2017. DOI: 10.23919/AEIT.2017.8240550
- A. Tomlinson, J. Bryans, and S. Shaikh, "Towards Viable Intrusion Detection Methods for The Automotive Controller Area Network," Proceedings of Computer Science in Cars Symposium, pp.1-9, 2018. DOI: 10.1145/3273946.3273950