Evaluating the Impact of Feature Engineering in Phishing URL Detection: A Comparative Study of URL, HTML, and Derived Features

Phishing attacks have evolved into sophisticated threats, making effective cybersecurity detection strategies essential. While many studies focus on either URL or HTML features, limited work has explored the comparative impact of engineered feature sets across different machine learning models. This...

Description complète

Détails bibliographiques

Auteurs principaux:	Yanche Ari Kustiawan, Khairil Imran Ghauth
Format:	Artigo
Langue:	Inglês
Publié:	IEEE 2025-01-01
Collection:	IEEE Access
Sujets:	Phishing URL detection machine learning feature engineering URL features HTML features derived features
Accès en ligne:	https://ieeexplore.ieee.org/document/11031414/
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!