Wai Weng Lo

According to our database, Wai Weng Lo authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

FlowTransformer: A transformer framework for flow-based network intrusion detection systems.

Liam Daly Manocchio, Siamak Layeghy, Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Marius Portmann

Expert Syst. Appl., 2024

2023

Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin.

Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Siamak Layeghy, Marius Portmann

Appl. Intell., August, 2023

XG-BoT: An explainable deep graph neural network for botnet detection and forensics.

Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Siamak Layeghy, Marius Portmann

Internet Things, July, 2023

DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection.

Mohanad Sarhan, Gayan K. Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022

Anomal-E: A self-supervised network intrusion detection system based on graph neural networks.

Evan Caville, Wai Weng Lo, Siamak Layeghy, Marius Portmann

Knowl. Based Syst., 2022

XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics.

Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marius Portmann

CoRR, 2022

Inspection-L: Practical GNN-Based Money Laundering Detection System for Bitcoin.

Wai Weng Lo, Siamak Layeghy, Marius Portmann

CoRR, 2022

HBFL: A hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detection.

Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy, Marius Portmann

Comput. Electr. Eng., 2022

E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT.

Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann

Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

Graph Neural Network-based Android Malware Classification with Jumping Knowledge.

Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022

2021

E-GraphSAGE: A Graph Neural Network based Intrusion Detection System.

Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann

CoRR, 2021

2019

An Xception Convolutional Neural Network for Malware Classification with Transfer Learning.

Wai Weng Lo, Xu Yang, Yapeng Wang

Proceedings of the 10th IFIP International Conference on New Technologies, 2019