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ORCIDMarius Portmann
- > Home > Persons > Marius Portmann
Publications
- 2024
[j41]Liam Daly Manocchio, Siamak Layeghy
, Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Marius Portmann:
FlowTransformer: A transformer framework for flow-based network intrusion detection systems. Expert Syst. Appl. 241: 122564 (2024)- 2023
- [j38]Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Siamak Layeghy, Marius Portmann:
Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin. Appl. Intell. 53(16): 19406-19417 (2023) - [j33]Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Siamak Layeghy, Marius Portmann:
XG-BoT: An explainable deep graph neural network for botnet detection and forensics. Internet Things 22: 100747 (2023) - [c75]Mohanad Sarhan, Gayan K. Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann:
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. CCGridW 2023: 1-7 - [i39]Liam Daly Manocchio, Siamak Layeghy, Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Marius Portmann:
FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems. CoRR abs/2304.14746 (2023) - 2022
- [j26]Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy, Marius Portmann:
HBFL: A hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detection. Comput. Electr. Eng. 103: 108379 (2022) - [j25]Evan Caville, Wai Weng Lo, Siamak Layeghy, Marius Portmann:
Anomal-E: A self-supervised network intrusion detection system based on graph neural networks. Knowl. Based Syst. 258: 110030 (2022) - [c72]Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann:
Graph Neural Network-based Android Malware Classification with Jumping Knowledge. DSC 2022: 1-9 - [c70]Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann:
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT. NOMS 2022: 1-9 - [i38]Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann:
Graph Neural Network-based Android Malware Classification with Jumping Knowledge. CoRR abs/2201.07537 (2022) - [i37]Wai Weng Lo, Siamak Layeghy, Marius Portmann:
Inspection-L: Practical GNN-Based Money Laundering Detection System for Bitcoin. CoRR abs/2203.10465 (2022) - [i36]Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy, Marius Portmann:
HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection. CoRR abs/2204.04254 (2022) - [i33]Evan Caville, Wai Weng Lo, Siamak Layeghy, Marius Portmann:
Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks. CoRR abs/2207.06819 (2022) - [i32]Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marius Portmann:
XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics. CoRR abs/2207.09088 (2022) - [i28]Mohanad Sarhan, Gayan K. Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann:
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. CoRR abs/2212.07558 (2022) - 2021
- [i24]Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann:
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System. CoRR abs/2103.16329 (2021)
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