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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...

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Principais autores: Yanche Ari Kustiawan, Khairil Imran Ghauth
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2025-01-01
Serier:IEEE Access
Fag:
Phishing URL detection
machine learning
feature engineering
URL features
HTML features
derived features
Online adgang:https://ieeexplore.ieee.org/document/11031414/
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