Wai Weng Lo - RankMe

17 papers B 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	FlowTransformer: A transformer framework for flow-based network intrusion detection systems. Expert Syst. Appl. Liam Daly Manocchio, Siamak Layeghy, Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Marius Portmann
2023	—	`conf`	DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. CCGridW Mohanad Sarhan, Gayan K. Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann
2023	J	`jnl`	FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems. CoRR Liam Daly Manocchio, Siamak Layeghy, Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Marius Portmann
2023	J	`jnl`	Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin. Appl. Intell. Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Siamak Layeghy, Marius Portmann
2023	J	`jnl`	XG-BoT: An explainable deep graph neural network for botnet detection and forensics. Internet Things Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Siamak Layeghy, Marius Portmann
2022	J	`jnl`	Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks. CoRR Evan Caville, Wai Weng Lo, Siamak Layeghy, Marius Portmann
2022	J	`jnl`	Anomal-E: A self-supervised network intrusion detection system based on graph neural networks. Knowl. Based Syst. Evan Caville, Wai Weng Lo, Siamak Layeghy, Marius Portmann
2022	J	`jnl`	DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. CoRR Mohanad Sarhan, Gayan K. Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann
2022	B	`conf`	E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT. NOMS Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
2022	—	`conf`	Graph Neural Network-based Android Malware Classification with Jumping Knowledge. DSC Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
2022	J	`jnl`	Graph Neural Network-based Android Malware Classification with Jumping Knowledge. CoRR Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
2022	J	`jnl`	HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection. CoRR Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy, Marius Portmann
2022	J	`jnl`	HBFL: A hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detection. Comput. Electr. Eng. Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy, Marius Portmann
2022	J	`jnl`	Inspection-L: Practical GNN-Based Money Laundering Detection System for Bitcoin. CoRR Wai Weng Lo, Siamak Layeghy, Marius Portmann
2022	J	`jnl`	XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics. CoRR Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marius Portmann
2021	J	`jnl`	E-GraphSAGE: A Graph Neural Network based Intrusion Detection System. CoRR Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
2019	—	`conf`	An Xception Convolutional Neural Network for Malware Classification with Transfer Learning. NTMS Wai Weng Lo, Xu Yang, Yapeng Wang