Identifying the Most Effective Feature Category in Machine Learning-based Phishing Website Detection

• Main Authors: Tan, Choon Lin, Chiew, Kang Leng, Nadianatra, Musa, Dayang Hanani, Abang Ibrahim
• Format: Article
• Language: English
• Published: Science Publishing Corporation 2018
• Subjects: T Technology (General)
• Online Access: http://ir.unimas.my/id/eprint/25776/1/Identifying%20the%20Most%20Effective%20Feature%20Category%20in%20Machine%20Learning-based%20Phishing%20Website%20Detection%20%28abstract%29.pdf; http://ir.unimas.my/id/eprint/25776/; https://www.sciencepubco.com/index.php/ijet/article/view/23331
• Institution: Universiti Malaysia Sarawak

This paper proposes an improved approach to categorise phishing features into precise categories. Existing features are surveyed from the current phishing detection works and grouped according to the improved categorisation approach. The performances of various feature sets are evaluated using the C...