Source codes

IoT Intrusion dection

• 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/Kihy/liuer-mihou

• 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. 

Autonomous Vehicle(s)

• 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.