1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CR2024
Comparative Analysis of Black-Box and White-Box Machine Learning Model in Phishing Detection
Abdullah Fajar, Setiadi Yazid, Indra Budi
Background: Explainability in phishing detection model can support a further solution of phishing attack mitigation by increasing trust and understanding how phishing can be detect…
cs.CR2024★ 1 cited
Enhancing Phishing Detection through Feature Importance Analysis and Explainable AI: A Comparative Study of CatBoost, XGBoost, and EBM Models
Abdullah Fajar, Setiadi Yazid, Indra Budi
Phishing attacks remain a persistent threat to online security, demanding robust detection methods. This study investigates the use of machine learning to identify phishing URLs, e…