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2023 Journal Article Light-Weight ML Aided Autonomous IoT NetworksGhosh, Sushmita, Mandal, Akash Kumar, De, Swades, Chatterjee, Shouri and Portmann, Marius (2023). Light-Weight ML Aided Autonomous IoT Networks. IEEE Communications Magazine, 61 (6), 51-57. doi: 10.1109/mcom.001.2200539 |
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2023 Conference Publication Energy aware smart sensing and implementation in green air pollution monitoring systemGhosh, Sushmita, Das, Payali, Murugesh, Shakthipriya, De, Swades, Chatterjee, Shouri and Portmann, Marius (2023). Energy aware smart sensing and implementation in green air pollution monitoring system. IEEE International Conference on Communications (IEEE ICC), Rome, Italy, 28 May - 1 June 2023. New York, NY, United States: IEEE. doi: 10.1109/icc45041.2023.10279138 |
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2023 Other Outputs NF-UNSW-NB15Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-UNSW-NB15. The University of Queensland. (Dataset) doi: 10.48610/5d0832d |
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2023 Other Outputs NF-BoT-IoT-v2Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-BoT-IoT-v2. The University of Queensland. (Dataset) doi: 10.48610/ec73920 |
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2023 Other Outputs NF-UQ-NIDSSarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-UQ-NIDS. The University of Queensland. (Dataset) doi: 10.48610/69b5a53 |
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2023 Other Outputs NF-ToN-IoTSarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-ToN-IoT. The University of Queensland. (Dataset) doi: 10.48610/2fa2ed6 |
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2023 Other Outputs CIC-BoT-IoTSarhan, Mohanad, Layeghy, Siamak and Portmann, Marus (2023). CIC-BoT-IoT. The University of Queensland. (Dataset) doi: 10.48610/c80fccd |
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2023 Other Outputs NF-BoT-IoTSarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-BoT-IoT. The University of Queensland. (Dataset) doi: 10.48610/62e6d80 |
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2023 Other Outputs CIC-ToN-IoTSarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). CIC-ToN-IoT. The University of Queensland. (Dataset) doi: 10.48610/f6884ce |
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2023 Other Outputs NF-ToN-IoT-v2Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-ToN-IoT-v2. The University of Queensland. (Dataset) doi: 10.48610/38a2d07 |
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2023 Other Outputs NF-UQ-NIDS-v2Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-UQ-NIDS-v2. The University of Queensland. (Dataset) doi: 10.48610/631a24a |
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2023 Other Outputs NF-UNSW-NB15-v2Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-UNSW-NB15-v2. The University of Queensland. (Dataset) doi: 10.48610/ffbb0c1 |
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2023 Journal Article Explainable cross-domain evaluation of ML-based network intrusion detection systemsLayeghy, Siamak and Portmann, Marius (2023). Explainable cross-domain evaluation of ML-based network intrusion detection systems. Computers and Electrical Engineering, 108 108692, 1-15. doi: 10.1016/j.compeleceng.2023.108692 |
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2023 Journal Article DI-NIDS: domain invariant network intrusion detection systemLayeghy, Siamak, Baktashmotlagh, Mahsa and Portmann, Marius (2023). DI-NIDS: domain invariant network intrusion detection system. Knowledge-Based Systems, 273 110626, 110626. doi: 10.1016/j.knosys.2023.110626 |
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2023 Conference Publication DOC-NAD: A hybrid deep one-class classifier for network anomaly detectionSarhan, Mohanad, Kulatilleke, Gayan, Lo, Wai Weng, Layeghy, Siamak and Portmann, Marius (2023). DOC-NAD: A hybrid deep one-class classifier for network anomaly detection. 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW), Bangalore, India, 1 - 4 May 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/ccgridw59191.2023.00016 |
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2023 Journal Article FusedAR: energy-positive human activity recognition using kinetic and solar signal fusionSandhu, Muhammad Moid, Khalifa, Sara, Geissdoerfer, Kai, Jurdak, Raja, Portmann, Marius and Kusy, Brano (2023). FusedAR: energy-positive human activity recognition using kinetic and solar signal fusion. IEEE Sensors Journal, 23 (11), 12411-12426. doi: 10.1109/jsen.2023.3268687 |
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2023 Journal Article From zero-shot machine learning to zero-day attack detectionSarhan, Mohanad, Layeghy, Siamak, Gallagher, Marcus and Portmann, Marius (2023). From zero-shot machine learning to zero-day attack detection. International Journal of Information Security, 22 (4), 947-959. doi: 10.1007/s10207-023-00676-0 |
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2023 Journal Article Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoinLo, Wai Weng, Kulatilleke, Gayan K., Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin. Applied Intelligence, 53 (16), 1-12. doi: 10.1007/s10489-023-04504-9 |
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2023 Book Chapter IntroductionSandhu, Muhammad Moid, Khalifa, Sara, Portmann, Marius and Jurdak, Raja (2023). Introduction. Self-Powered Internet of Things. (pp. 3-12) Cham: Springer International Publishing. doi: 10.1007/978-3-031-27685-9_1 |
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2023 Other Outputs NF-CSE-CIC-IDS2018-v2Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-CSE-CIC-IDS2018-v2. The University of Queensland. (Dataset) doi: 10.48610/e9636b7 |
