Evidence gathering for network security and forensics. - Dinil Mon Divakaran; Fok Kar Wai; Ido Nevat; Vrizlynn L. L. Thing (Digit. Investig., 2017)

Predicting vulnerability discovery rate using past versions of a software. - Fok Kar Wai; Wee-Yong Lim; Dinil Mon Divakaran; Vrizlynn L. L. Thing (SOLI, 2018)

Automated Botnet Traffic Detection via Machine Learning. - Fok Kar Wai; Lilei Zheng; Watt Kwong Wai; Le Su; Vrizlynn L. L. Thing (TENCON, 2018)

Intrusion Detection in Internet of Things using Convolutional Neural Networks. - Martin Kodys; Zhi Lu; Fok Kar Wai; Vrizlynn L. L. Thing (PST, 2021)

Clustering based opcode graph generation for malware variant detection. - Fok Kar Wai; Vrizlynn L. L. Thing (PST, 2021)

A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection. - Rahul Kale; Zhi Lu; Kar-Wai Fok; Vrizlynn L. L. Thing (BigDataSecurity/HPSC/IDS, 2022)

Machine learning for encrypted malicious traffic detection: Approaches, datasets and comparative study. - Zihao Wang; Fok Kar Wai; Vrizlynn L. L. Thing (Comput. Secur., 2022)

Emerging Trends in 5G Malicious Traffic Analysis: Enhancing Incremental Learning Intrusion Detection Strategies. - Zihao Wang; Kar-Wai Fok; Vrizlynn L. L. Thing (CSR, 2024)

ExpIDS: A Drift-Adaptable Network Intrusion Detection System with Improved Explainability. - Ayush Kumar 001; Kar-Wai Fok; Vrizlynn L. L. Thing (ITNAC, 2024)

Enhancing network intrusion detection performance using generative adversarial networks. - Xinxing Zhao; Kar-Wai Fok; Vrizlynn L. L. Thing (Comput. Secur., 2024)

Exploring Emerging Trends in 5G Malicious Traffic Analysis and Incremental Learning Intrusion Detection Strategies. - Zihao Wang; Kar-Wai Fok; Vrizlynn L. L. Thing (CoRR, 2024)

Privacy preserving layer partitioning for Deep Neural Network models. - Kishore Rajasekar; Randolph Loh; Kar-Wai Fok; Vrizlynn L. L. Thing (CoRR, 2024)

Enhanced Consistency Bi-directional GAN(CBiGAN) for Malware Anomaly Detection. - Thesath Wijayasiri; Kar-Wai Fok; Vrizlynn L. L. Thing (CoRR, 2025)

Network attack traffic detection with hybrid quantum-enhanced convolution neural network. - Zihao Wang; Kar-Wai Fok; Vrizlynn L. L. Thing (Quantum Mach. Intell., 2025)