| 2025 | LCN | Quantised Neural Network NIDS on SmartNIC: Balancing Accuracy and Efficiency in P4. | Yaying Chen, Siamak Layeghy, Marius Portmann |
| 2025 | LCN | Multimodal LLMs for Zero-Shot Intrusion Detection Using NetFlow Visualisations. | Majed Luay, Siamak Layeghy, Yash Pandey, Gayan K. Kulatilleke, Marius Portmann |
| 2023 | CCGRID | DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. | Mohanad Sarhan, Gayan K. Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann |
| 2022 | ITNAC | Network Intrusion Detection System in a Light Bulb. | Liam Daly Manocchio, Siamak Layeghy, Marius Portmann |
| 2022 | NOMS | E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT. | Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann |
| 2021 | PERCOM | Scaling Spectrogram Data Representation for Deep Learning on Edge TPU. | Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Marius Portmann |
| 2018 | ITNAC | Enhancing Quality of Experience of VoIP Traffic in SDN based End-hosts. | Anees Al-Najjar, Siamak Layeghy, Marius Portmann, Jadwiga Indulska |
| 2017 | ITNAC | Experimental evaluation of the impact of DoS attacks in SDN. | Talal Alharbi, Siamak Layeghy, Marius Portmann |
| 2016 | ITNAC | SCOR: Constraint Programming-based Northbound Interface for SDN. | Siamak Layeghy, Farzaneh Pakzad, Marius Portmann |
| 2016 | ITNAC | Evaluation of Mininet-WiFi integration via ns-3. | Farzaneh Pakzad, Siamak Layeghy, Marius Portmann |
| 2016 | PERCOM | Pushing SDN to the end-host, network load balancing using OpenFlow. | Anees Al-Najjar, Siamak Layeghy, Marius Portmann |
| 2014 | ICASSP | Non-invasivemonitoring of fetal movements using time-frequency features of accelerometry. | Siamak Layeghy, Ghasem Azemi, Paul B. Colditz, Boualem Boashash |