Wai Weng Lo

Orcid: 0000-0003-3458-4043

According to our database1, Wai Weng Lo authored at least 12 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin.
Appl. Intell., August, 2023

XG-BoT: An explainable deep graph neural network for botnet detection and forensics.
Internet Things, July, 2023

FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems.
CoRR, 2023

DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection.
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.
Knowl. Based Syst., 2022

XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics.
CoRR, 2022

Inspection-L: Practical GNN-Based Money Laundering Detection System for Bitcoin.
CoRR, 2022

HBFL: A hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detection.
Comput. Electr. Eng., 2022

E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT.
Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

Graph Neural Network-based Android Malware Classification with Jumping Knowledge.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022

2021
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System.
CoRR, 2021

2019
An Xception Convolutional Neural Network for Malware Classification with Transfer Learning.
Proceedings of the 10th IFIP International Conference on New Technologies, 2019


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