Wai Weng Lo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Transfer Learning

Intrusion Detection

Top Venues

Comput. Electr. Eng.

Publications

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 (2024)
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 (2023)
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)
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) (2023)
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 (2023)
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)
Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy, Marius Portmann
HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection. CoRR (2022)
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
Graph Neural Network-based Android Malware Classification with Jumping Knowledge. DSC (2022)
Evan Caville, Wai Weng Lo, Siamak Layeghy, Marius Portmann
Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks. CoRR (2022)
Wai Weng Lo, Siamak Layeghy, Marius Portmann
Inspection-L: Practical GNN-Based Money Laundering Detection System for Bitcoin. CoRR (2022)
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 (2022)
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 (2022)
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marius Portmann
XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics. CoRR (2022)
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 (2022)
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
Graph Neural Network-based Android Malware Classification with Jumping Knowledge. CoRR (2022)
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System. CoRR (2021)
Wai Weng Lo, Xu Yang, Yapeng Wang
An Xception Convolutional Neural Network for Malware Classification with Transfer Learning. NTMS (2019)