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All Journal Asia Information System Journal Data : Journal of Information Systems and Management Jurnal Ilmu Komputer
Wiharjo, Sudarno
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Journal : Data : Journal of Information Systems and Management

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Phishing Email Classification Approach Using Machine Learning Algorithms - A Literature Review Firman; Tukiyat; Wiharjo, Sudarno
Data : Journal of Information Systems and Management Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v3i3.692

Abstract

Email phishing is one of the cybersecurity threats that continues to grow, utilizing social engineering to obtain sensitive data. Various machine learning-based approaches have been researched to detect and classify phishing emails. This article presents a literature review of phishing email classification methods, including the K-Nearest Neighbor (KNN) algorithm, Naïve Bayes, Support Vector Machine (SVM), Random Forest, and deep learning-based approaches. The discussion included feature extraction techniques (TF-IDF, Word2Vec, BERT), handling data imbalances, and model performance evaluation. This review identifies current research trends, challenges, and gaps for further research.
Co-Authors Agung Budi Susanto Aziz, Awaludin Chairul, Muhammad Ilham Firizkillah Firman Okta Reni Azrina RA Tukiyat Waskita, Arya Adhyaksa