APA (7th ed.) Citation

Liu, J., Fan, W., Dai, Y., Lim, E., Pan, Z., & Lisitsa, A. (2024). Leveraging Semi-supervised Learning for Enhancing Anomaly-based IDS in Automotive Ethernet. 2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Trust, Security and Privacy in Computing and Communications (TrustCom), 2024 IEEE 23rd International Conference on, TRUSTCOM, 1563-1571. https://doi.org/10.1109/TrustCom63139.2024.00216

Chicago Style (17th ed.) Citation

Liu, Jia, Wenjun Fan, Yifan Dai, Enggee Lim, Zhoujin Pan, and Alexei Lisitsa. "Leveraging Semi-supervised Learning for Enhancing Anomaly-based IDS in Automotive Ethernet." 2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Trust, Security and Privacy in Computing and Communications (TrustCom), 2024 IEEE 23rd International Conference on, TRUSTCOM 2024: 1563-1571. https://doi.org/10.1109/TrustCom63139.2024.00216.

MLA (9th ed.) Citation

Liu, Jia, et al. "Leveraging Semi-supervised Learning for Enhancing Anomaly-based IDS in Automotive Ethernet." 2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Trust, Security and Privacy in Computing and Communications (TrustCom), 2024 IEEE 23rd International Conference on, TRUSTCOM, 2024, pp. 1563-1571, https://doi.org/10.1109/TrustCom63139.2024.00216.