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2024 Journal Article FlowTransformer: A transformer framework for flow-based network intrusion detection systemsManocchio, Liam Daly, Layeghy, Siamak, Lo, Wai Weng, Kulatilleke, Gayan K., Sarhan, Mohanad and Portmann, Marius (2024). FlowTransformer: A transformer framework for flow-based network intrusion detection systems. Expert Systems with Applications, 241 122564, 1-15. doi: 10.1016/j.eswa.2023.122564 |
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2024 Journal Article Benchmarking the benchmark — Comparing synthetic and real-world Network IDS datasetsLayeghy, Siamak, Gallagher, Marcus and Portmann, Marius (2024). Benchmarking the benchmark — Comparing synthetic and real-world Network IDS datasets. Journal of Information Security and Applications, 80 103689, 1-18. doi: 10.1016/j.jisa.2023.103689 |
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2025 Journal Article An empirical evaluation of preprocessing methods for machine learning based network intrusion detection systemsManocchio, Liam Daly, Layeghy, Siamak, Gallagher, Marcus and Portmann, Marius (2025). An empirical evaluation of preprocessing methods for machine learning based network intrusion detection systems. Engineering Applications of Artificial Intelligence, 158 111289, 1-16. doi: 10.1016/j.engappai.2025.111289 |
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2025 Conference Publication Quantised neural network NIDS on SmartNIC: balancing accuracy and efficiency in P4Chen, Yaying, Layeghy, Siamak and Portmann, Marius (2025). Quantised neural network NIDS on SmartNIC: balancing accuracy and efficiency in P4. 50th Conference on Local Computer Networks (LCN), Sydney, NSW, Australia, 13-16 October 2025. Piscataway, NJ, United States: IEEE. doi: 10.1109/lcn65610.2025.11146316 |
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2025 Conference Publication Multimodal LLMs for zero-shot intrusion detection using NetFlow visualisationsLuay, Majed, Layeghy, Siamak, Pandey, Yash, Kulatilleke, Gayan and Portmann, Marius (2025). Multimodal LLMs for zero-shot intrusion detection using NetFlow visualisations. 2025 IEEE 50th Conference on Local Computer Networks (LCN), Sydney, NSW Australia, 13-16 October 2025. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/lcn65610.2025.11146352 |
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2025 Journal Article If you can’t measure it, you can’t improve it a comparison of technologies for capturing shower duration of hotel guestsPandey, Yash, Chen, Qingqing, Portmann, Marius, Layeghy, Siamak and Dolnicar, Sara (2025). If you can’t measure it, you can’t improve it a comparison of technologies for capturing shower duration of hotel guests. Journal of Travel and Tourism Marketing, 42 (7), 983-993. doi: 10.1080/10548408.2025.2497959 |
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2025 Conference Publication P4-NIDS: high-performance network monitoring and intrusion detection in P4Chen, Yaying, Layeghy, Siamak, Manocchio, Liam Daly and Portmann, Marius (2025). P4-NIDS: high-performance network monitoring and intrusion detection in P4. 2025 Computing Conference, London, United Kingdom, 19-20 June 2025. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-031-92611-2_24 |
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2025 Journal Article EcoShower: estimating shower duration using non-intrusive multi-modal sensor data via LSTM and Gated Transformer modelsSablica, Lukas, Grün, Bettina, Layeghy, Siamak, Dolnicar, Sara and Portmann, Marius (2025). EcoShower: estimating shower duration using non-intrusive multi-modal sensor data via LSTM and Gated Transformer models. Expert Systems with Applications, 277 127202, 127202-277. doi: 10.1016/j.eswa.2025.127202 |
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2025 Journal Article P4-Secure: in-band DDoS detection in software defined networksDaly Manocchio, Liam, Chen, Yaying, Layeghy, Siamak, Gwynne, David and Portmann, Marius (2025). P4-Secure: in-band DDoS detection in software defined networks. IEEE Transactions on Network and Service Management, 22 (2), 2120-2137. doi: 10.1109/tnsm.2025.3552844 |
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2025 Journal Article Leveraging LSTM and reinforcement learning for adaptive sensing in CIoT nodesGhosh, Sushmita, Layeghy, Siamak, De, Swades, Chatterjee, Shouri and Portmann, Marius (2025). Leveraging LSTM and reinforcement learning for adaptive sensing in CIoT nodes. IEEE Transactions on Consumer Electronics, 71 (1), 178-188. doi: 10.1109/tce.2024.3516498 |
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2025 Other Outputs NF-CSE-CIC-IDS2018-v3Luay, Majed, Layeghy, Siamak, Mohanad, Sarhan, Sayedehfaezeh, Hoseininoorbin, Moustafa, Nour and Portmann, Marius (2025). NF-CSE-CIC-IDS2018-v3. The University of Queensland. (Dataset) doi: 10.48610/ece9b83 |
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2025 Other Outputs NF-BoT-IoT-v3Luay, Majed, Layeghy, Siamak, Mohanad, Sarhan, Sayedehfaezeh, Hoseininoorbin, Nour, Moustafa and Portmann, Marius (2025). NF-BoT-IoT-v3. The University of Queensland. (Dataset) doi: 10.48610/73c4ebc |
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2025 Other Outputs NF-ToN-IoT-v3Luay, Majed, Layeghy, Siamak, Mohanad, Sarhan, Sayedehfaezeh, Hoseininoorbin, Moustafa, Nour and Portmann, Marius (2025). NF-ToN-IoT-v3. The University of Queensland. (Dataset) doi: 10.48610/44d7c5e |
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2025 Other Outputs NF-UNSW-NB15-v3Luay, Majed, Layeghy, Siamak, Mohanad, Sarhan, Sayedehfaezeh, Hoseininoorbin, Moustafa, Nour and Portmann, Marius (2025). NF-UNSW-NB15-v3. The University of Queensland. (Dataset) doi: 10.48610/6e0eda1 |
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2024 Conference Publication Towards Explainable Network Intrusion Detection using Large Language ModelsHoussel, Paul R. B., Singh, Priyanka, Layeghy, Siamak and Portmann, Marius (2024). Towards Explainable Network Intrusion Detection using Large Language Models. 2024 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), Sharjah, United Arab Emirates, 16-19 December 2024. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/bdcat63179.2024.00021 |
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2024 Journal Article FlowTransformer: A flexible python framework for flow-based network data analysisManocchio, Liam Daly, Layeghy, Siamak and Portmann, Marius (2024). FlowTransformer: A flexible python framework for flow-based network data analysis. Software Impacts, 22 100702, 100702. doi: 10.1016/j.simpa.2024.100702 |
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2024 Journal Article Does every hotel room need a minifridge? Empirical evidence from consumer self-reports and an automatic sensor-based system measuring electricity consumption and guest useDolnicar, Sara, Greene, Danyelle, Layeghy, Siamak and Portmann, Marius (2024). Does every hotel room need a minifridge? Empirical evidence from consumer self-reports and an automatic sensor-based system measuring electricity consumption and guest use. Annals of Tourism Research Empirical Insights, 5 (2) 100134. doi: 10.1016/j.annale.2024.100134 |
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2024 Journal Article A configurable anonymisation approach for network flow data: Balancing utility and privacyManocchio, Liam Daly, Layeghy, Siamak, Gwynne, David and Portmann, Marius (2024). A configurable anonymisation approach for network flow data: Balancing utility and privacy. Computers and Electrical Engineering, 118 109465, 1-16. doi: 10.1016/j.compeleceng.2024.109465 |
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2024 Journal Article Feature extraction for machine learning-based intrusion detection in IoT networksSarhan, Mohanad, Layeghy, Siamak, Moustafa, Nour, Gallagher, Marcus and Portmann, Marius (2024). Feature extraction for machine learning-based intrusion detection in IoT networks. Digital Communications and Networks, 10 (1), 205-216. doi: 10.1016/j.dcan.2022.08.012 |
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2023 Journal Article Exploring Edge TPU for Network Intrusion Detection in IoTHosseininoorbin, Seyedehfaezeh, Layeghy, Siamak, Sarhan, Mohanad, Jurdak, Raja and Portmann, Marius (2023). Exploring Edge TPU for Network Intrusion Detection in IoT. Journal of Parallel and Distributed Computing, 179 104712, 1-11. doi: 10.1016/j.jpdc.2023.05.001 |
