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2023 Other Outputs NF-CSE-CIC-IDS2018Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-CSE-CIC-IDS2018. The University of Queensland. (Dataset) doi: 10.48610/b9ed88b |
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Featured 2022 Journal Article Anomal-E: A self-supervised network intrusion detection system based on graph neural networksCaville, Evan, Lo, Wai Weng, Layeghy, Siamak and Portmann, Marius (2022). Anomal-E: A self-supervised network intrusion detection system based on graph neural networks. Knowledge-Based Systems, 258 110030, 1-11. doi: 10.1016/j.knosys.2022.110030 |
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2022 Conference Publication Network intrusion detection system in a light bulbManocchio, Liam Daly, Layeghy, Siamak and Portmann, Marius (2022). Network intrusion detection system in a light bulb. 32nd International Telecommunication Networks and Applications Conference (ITNAC), Wellington, New Zealand, 30 November- 2 December 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/itnac55475.2022.9998371 |
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2022 Journal Article Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-Based Network Intrusion DetectionSarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2022). Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-Based Network Intrusion Detection. Big Data Research, 30 100359, 1-9. doi: 10.1016/j.bdr.2022.100359 |
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2022 Journal Article Cyber threat intelligence sharing scheme based on federated learning for network intrusion detectionSarhan, Mohanad, Layeghy, Siamak, Moustafa, Nour and Portmann, Marius (2022). Cyber threat intelligence sharing scheme based on federated learning for network intrusion detection. Journal of Network and Systems Management, 31 (1) 3. doi: 10.1007/s10922-022-09691-3 |
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2022 Journal Article HBFL: a hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detectionSarhan, Mohanad, Lo, Wai Weng, Layeghy, Siamak and Portmann, Marius (2022). HBFL: a hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detection. Computers and Electrical Engineering, 103 108379, 1-17. doi: 10.1016/j.compeleceng.2022.108379 |
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2022 Journal Article Local reference free in-field calibration of low cost air pollution monitoring sensorsGhosh, Sushmita, Das, Payali, De, Swades, Chatterjee, Shouri and Portmann, Marius (2022). Local reference free in-field calibration of low cost air pollution monitoring sensors. IEEE Transactions on Instrumentation and Measurement, 71 2517613, 1-13. doi: 10.1109/tim.2022.3203446 |
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2022 Conference Publication Graph neural network-based android malware classification with jumping knowledgeLo, Wai Weng, Layeghy, Siamak, Sarhan, Mohanad, Gallagher, Marcus and Portmann, Marius (2022). Graph neural network-based android malware classification with jumping knowledge. 2022 IEEE Conference on Dependable and Secure Computing (DSC), Edinburgh, United Kingdom, 22-24 June 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/dsc54232.2022.9888878 |
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Featured 2022 Conference Publication E-GraphSAGE: a graph neural network based intrusion detection system for IoTLo, Wai Weng, Layeghy, Siamak, Sarhan, Mohanad, Gallagher, Marcus and Portmann, Marius (2022). E-GraphSAGE: a graph neural network based intrusion detection system for IoT. NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, Budapest, Hungary, 25-29 April 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/noms54207.2022.9789878 |
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2022 Conference Publication FDGATII: Fast Dynamic Graph Attention with Initial Residual and IdentityKulatilleke, Gayan K., Portmann, Marius, Ko, Ryan and Chandra, Shekhar S. (2022). FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity. 35th Australasian Joint Conference on Artificial Intelligence: AI 2022, Perth, WA Australia, 5–8 December 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-22695-3_6 |
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2022 Book Chapter SCOR: a constraint programming approach to software defined networkingLayeghy, Siamak and Portmann, Marius (2022). SCOR: a constraint programming approach to software defined networking. Horizons in computer science research. Volume 22. (pp. 141-191) edited by Thomas S. Clary. New York, NY United States: Nova Science Publishers. |
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2021 Journal Article Edge intelligence framework for data-driven dynamic priority sensing and transmissionGhosh, Sushmita, De, Swades, Chatterjee, Shouri and Portmann, Marius (2021). Edge intelligence framework for data-driven dynamic priority sensing and transmission. IEEE Transactions on Green Communications and Networking, 6 (1), 376-390. doi: 10.1109/TGCN.2021.3136139 |
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2021 Journal Article Towards a standard feature set for network intrusion detection system datasetsSarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2021). Towards a standard feature set for network intrusion detection system datasets. Mobile Networks and Applications, 27 (1), 357-370. doi: 10.1007/s11036-021-01843-0 |
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2021 Conference Publication FlowGAN - Synthetic Network Flow Generation using Generative Adversarial NetworksManocchio, Liam Daly, Layeghy, Siamak and Portmann, Marius (2021). FlowGAN - Synthetic Network Flow Generation using Generative Adversarial Networks. International Conference on Computational Science and Engineering (CSE), Shenyang, China, 20-22 October 2021. Piscataway, NJ, United States: IEEE. doi: 10.1109/cse53436.2021.00033 |
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2021 Journal Article Task scheduling for energy harvesting-based IoT: a survey and critical analysisSandhu, Muhammad Moid, Khalifa, Sara, Jurdak, Raja and Portmann, Marius (2021). Task scheduling for energy harvesting-based IoT: a survey and critical analysis. IEEE Internet of Things Journal, 8 (18) 9446528, 13825-13848. doi: 10.1109/JIOT.2021.3086186 |
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2021 Journal Article Deep learning-based cattle behaviour classification using joint time-frequency data representationHosseininoorbin, Seyedehfaezeh, Layeghy, Siamak, Kusy, Brano, Jurdak, Raja, Bishop-Hurley, Greg J., Greenwood, Paul L and Portmann, Marius (2021). Deep learning-based cattle behaviour classification using joint time-frequency data representation. Computers and Electronics in Agriculture, 187 106241, 106241. doi: 10.1016/j.compag.2021.106241 |
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2021 Conference Publication Learning-based Smart Sensing for Energy-Sustainable WSNGhosh, Sushmita, De, Swades, Chatterjee, Shouri and Portmann, Marius (2021). Learning-based Smart Sensing for Energy-Sustainable WSN. doi: 10.1109/icc42927.2021.9500317 |
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2021 Journal Article Learning-based adaptive sensor selection framework for multi-sensing WSNGhosh, Sushmita, De, Swades, Chatterjee, Shouri and Portmann, Marius (2021). Learning-based adaptive sensor selection framework for multi-sensing WSN. IEEE Sensors Journal, 21 (12) 9388700, 13551-13563. doi: 10.1109/jsen.2021.3069264 |
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2021 Conference Publication SolAR: energy positive human activity recognition using solar cellsSandhu, Muhammad Moid, Khalifa, Sara, Geissdoerfer, Kai, Jurdak, Raja and Portmann, Marius (2021). SolAR: energy positive human activity recognition using solar cells. 2021 IEEE International Conference on Pervasive Computing and Communications (PerCom), Kassel, Germany, 22-26 March 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/PERCOM50583.2021.9439128 |
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2021 Conference Publication Scaling Spectrogram Data Representation for Deep Learning on Edge TPUHosseininoorbin, Seyedehfaezeh, Layeghy, Siamak, Kusy, Brano, Jurdak, Raja and Portmann, Marius (2021). Scaling Spectrogram Data Representation for Deep Learning on Edge TPU. 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Kassel, Germany, 22-26 March 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/PerComWorkshops51409.2021.9431041 |
