A Survey of Phishing Attacks: Their Types, Vectors and Technical Approaches KL Chiew, KSC Yong, CL Tan Expert Systems with Applications 106, 1-20, 2018 | 349 | 2018 |
A New Hybrid Ensemble Feature Selection Framework for Machine Learning-based Phishing Detection System KL Chiew, CL Tan, KS Wong, KSC Yong, WK Tiong Information Sciences 484, 153-166, 2019 | 345 | 2019 |
PhishWHO: Phishing webpage detection via identity keywords extraction and target domain name finder CL Tan, KL Chiew, KS Wong, SN Sze Decision Support Systems 88, 18-27, 2016 | 135 | 2016 |
Phishing Dataset for Machine Learning: Feature Evaluation CL Tan https://data.mendeley.com/datasets/h3cgnj8hft/1, 2018 | 64 | 2018 |
A Graph-Theoretic Approach for the Detection of Phishing Webpages CL Tan, KL Chiew, KSC Yong, SN Sze, J Abdullah, Y Sebastian Computers & Security 95, 101793, 2020 | 49 | 2020 |
Phishing website detection using URL-assisted brand name weighting system CL Tan, KL Chiew, SN Sze 2014 International Symposium on Intelligent Signal Processing and …, 2014 | 39 | 2014 |
Phishing Webpage Detection Using Weighted URL Tokens for Identity Keywords Retrieval CL Tan, KL Chiew, SN Sze 9th International Conference on Robotic, Vision, Signal Processing and Power …, 2017 | 38 | 2017 |
Building Standard Offline Anti-phishing Dataset for Benchmarking KL Chiew, EH Chang, CL Tan, J Abdullah, KSC Yong International Journal of Engineering & Technology 7 (4.31), 7-14, 2018 | 27 | 2018 |
A survey of the QR code phishing: the current attacks and countermeasures KSC Yong, KL Chiew, CL Tan 2019 7th International Conference on Smart Computing & Communications (ICSCC …, 2019 | 25 | 2019 |
Future of Generative Adversarial Networks (GAN) for Anomaly Detection in Network Security: A Review W Lim, KSC Yong, BT Lau, CCL Tan Computers & Security 139, 103733, 2024 | 17 | 2024 |
Hybrid phishing detection using joint visual and textual identity CCL Tan, KL Chiew, KSC Yong, Y Sebastian, JCM Than, WK Tiong Expert Systems with Applications 220, 119723, 2023 | 15 | 2023 |
Identifying the Most Effective Feature Category in Machine Learning-based Phishing Website Detection CL Tan, KL Chiew, N Musa, DH Abang Ibrahim International Journal of Engineering & Technology 7 (4.31), 1-6, 2018 | 8 | 2018 |