A new hybrid ensemble feature selection framework for machine learning-based phishing detection system

• Main Authors: Chiew, Kang Leng, Tan, Choon Lin, Wong, KokSheik, Yong, Kelvin S.C., Tiong, Wei King
• Format: Article
• Language: English
• Published: Elsevier Inc. 2019
• Subjects: ZA Information resources
• Online Access: http://ir.unimas.my/id/eprint/29603/1/A%20new%20hybrid.pdf; http://ir.unimas.my/id/eprint/29603/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060880885&doi=10.1016%2fj.ins.2019.01.064&partnerID=40&md5=e3dd816e70660a793aae238b30bd2fe0

This paper proposes a new feature selection framework for machine learning-based phishing detection system, called the Hybrid Ensemble Feature Selection (HEFS). In the first phase of HEFS, a novel Cumulative Distribution Function gradient (CDF-g) algorithm is exploited to produce primary feature sub...