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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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2025 Journal Article SCGC : Self-supervised contrastive graph clusteringKulatilleke, Gayan K., Portmann, Marius and Chandra, Shekhar S. (2025). SCGC : Self-supervised contrastive graph clustering. Neurocomputing, 611 128629, 128629. doi: 10.1016/j.neucom.2024.128629 |
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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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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 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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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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2024 Book Chapter VeraciTIX: an NFT-based event ticketing systemWard, Ryan, Jo, Komei, Dong, Naipeng, Owens, Bill and Portmann, Marius (2024). VeraciTIX: an NFT-based event ticketing system. Blockchain and smart-contract technologies for innovative applications. (pp. 189-213) edited by Nour El Madhoun, Ioanna Dionysiou and Emmanuel Bertin. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-50028-2_7 |
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2024 Journal Article Leveraging LSTM and Reinforcement Learning for Adaptive Sensing in CIoT NodesGhosh, Sushmita, Layeghy, Siamak, De, Swades, Chatterjee, Shouri and Portmann, Marius (2024). Leveraging LSTM and Reinforcement Learning for Adaptive Sensing in CIoT Nodes. IEEE Transactions on Consumer Electronics, 1-1. doi: 10.1109/tce.2024.3516498 |
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2023 Journal Article Efficient block contrastive learning via parameter-free meta-node approximationKulatilleke, Gayan K., Portmann, Marius and Chandra, Shekhar S. (2023). Efficient block contrastive learning via parameter-free meta-node approximation. Neurocomputing, 561 126850, 126850. doi: 10.1016/j.neucom.2023.126850 |
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2023 Journal Article Automatically monitoring environmental performance in tourism – The example of plate waste at all-you-can-eat buffetsDolnicar, Sara, Gray, Angus, Grün, Bettina, Li, Hongwei and Portmann, Marius (2023). Automatically monitoring environmental performance in tourism – The example of plate waste at all-you-can-eat buffets. Annals of Tourism Research Empirical Insights, 4 (2) 100100, 1-3. doi: 10.1016/j.annale.2023.100100 |
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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 |
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2023 Journal Article XG-BoT: an explainable deep graph neural network for botnet detection and forensicsLo, Wai Weng, Kulatilleke, Gayan, Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). XG-BoT: an explainable deep graph neural network for botnet detection and forensics. Internet of Things, 22 100747, 100747. doi: 10.1016/j.iot.2023.100747 |
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2023 Journal Article HARBIC: Human activity recognition using bi-stream convolutional neural network with dual joint time-frequency representationHosseininoorbin, Seyedehfaezeh, Layeghy, Siamak, Kusy, Brano, Jurdak, Raja and Portmann, Marius (2023). HARBIC: Human activity recognition using bi-stream convolutional neural network with dual joint time-frequency representation. Internet of Things, 22 100816, 1-17. doi: 10.1016/j.iot.2023.100816 |
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2023 Journal Article Exploring Edge TPU for deep feed-forward neural networksHosseininoorbin, Seyedehfaezeh, Layeghy, Siamak, Kusy, Brano, Jurdak, Raja and Portmann, Marius (2023). Exploring Edge TPU for deep feed-forward neural networks. Internet of Things, 22 100749, 1-16. doi: 10.1016/j.iot.2023.100749 |
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2023 Book Self-powered Internet of Things : How energy harvesters can enable energy-positive sensing, processing, and communicationSandhu, Muhammad Moid, Khalifa, Sara, Portmann, Marius and Jurdak, Raja (2023). Self-powered Internet of Things : How energy harvesters can enable energy-positive sensing, processing, and communication. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-27685-9 |
