Kitsune IDS (using Kitsune Network Attack dataset) (link)
paper: Yisroel Mirsky, Tomer Doitshman, Yuval Elovici, and Asaf Shabtai, "Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection", Network and Distributed System Security Symposium 2018 (NDSS'18).
Ke He:
Updated kitsune feature extractor used for Kitsune IDS (with UQ IoT IDS dataset): link
LM attack: https://github.com/XXXX-5/automatic-waddle
Ulysses Lam: IoT Intrusion Detection models (CNN, RNN, RF): link to be added.
research report: to be added.
Joshua You:
research paper/report: to be added.
CANival: time interval- and signal-based IDS (with X-CANIDS and SynCAN datasets) (link)
Paper: Kang, H., Vo, T., Kim, H. K., & Hong, J. B. (2024). CANival: A multimodal approach to intrusion detection on the vehicle CAN bus. Vehicular Communications, 50, 100845.
CANShield: signal-based IDS using multiple AE models (with ROAD and SynCAN datasets) (link)
Paper: Shahriar, M. H., Xiao, Y., Moriano, P., Lou, W., & Hou, Y. T. (2023). CANShield: deep-learning-based intrusion detection framework for controller area networks at the signal level. IEEE Internet of Things Journal, 10(24), 22111-22127.