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2020 – today
- 2024
[j3]Xinxing Zhao
, Kar-Wai Fok, Vrizlynn L. L. Thing:
Enhancing network intrusion detection performance using generative adversarial networks. Comput. Secur. 145: 104005 (2024)- [c6]Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing:
Emerging Trends in 5G Malicious Traffic Analysis: Enhancing Incremental Learning Intrusion Detection Strategies. CSR 2024: 114-119 - [i7]Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing:
Exploring Emerging Trends in 5G Malicious Traffic Analysis and Incremental Learning Intrusion Detection Strategies. CoRR abs/2402.14353 (2024) - [i6]Kishore Rajasekar, Randolph Loh, Kar-Wai Fok, Vrizlynn L. L. Thing:
Privacy preserving layer partitioning for Deep Neural Network models. CoRR abs/2404.07437 (2024) - [i5]Xinxing Zhao, Kar-Wai Fok, Vrizlynn L. L. Thing:
Enhancing Network Intrusion Detection Performance using Generative Adversarial Networks. CoRR abs/2404.07464 (2024) - 2022
- [j2]Zihao Wang, Fok Kar Wai, Vrizlynn L. L. Thing:
Machine learning for encrypted malicious traffic detection: Approaches, datasets and comparative study. Comput. Secur. 113: 102542 (2022) - [c5]Rahul Kale, Zhi Lu, Kar-Wai Fok, Vrizlynn L. L. Thing:
A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection. BigDataSecurity/HPSC/IDS 2022: 137-142 - [i4]Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing:
Machine Learning for Encrypted Malicious Traffic Detection: Approaches, Datasets and Comparative Study. CoRR abs/2203.09332 (2022) - [i3]Kar-Wai Fok, Vrizlynn L. L. Thing:
Clustering based opcode graph generation for malware variant detection. CoRR abs/2211.10048 (2022) - [i2]Martin Kodys, Zhi Lu, Kar-Wai Fok, Vrizlynn L. L. Thing:
Intrusion Detection in Internet of Things using Convolutional Neural Networks. CoRR abs/2211.10062 (2022) - [i1]Rahul Kale, Zhi Lu, Kar-Wai Fok, Vrizlynn L. L. Thing:
A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection. CoRR abs/2212.00966 (2022) - 2021
- [c4]Martin Kodys, Zhi Lu, Fok Kar Wai, Vrizlynn L. L. Thing:
Intrusion Detection in Internet of Things using Convolutional Neural Networks. PST 2021: 1-10 - [c3]Fok Kar Wai, Vrizlynn L. L. Thing:
Clustering based opcode graph generation for malware variant detection. PST 2021: 1-11
2010 – 2019
- 2018
- [c2]Fok Kar Wai, Wee-Yong Lim, Dinil Mon Divakaran, Vrizlynn L. L. Thing:
Predicting vulnerability discovery rate using past versions of a software. SOLI 2018: 220-225 - [c1]Fok Kar Wai, Lilei Zheng, Watt Kwong Wai, Le Su, Vrizlynn L. L. Thing:
Automated Botnet Traffic Detection via Machine Learning. TENCON 2018: 38-43 - 2017
- [j1]Dinil Mon Divakaran, Fok Kar Wai, Ido Nevat, Vrizlynn L. L. Thing:
Evidence gathering for network security and forensics. Digit. Investig. 20 Supplement: S56-S65 (2017)
Coauthor Index
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