Phishing Classification Techniques: A Systematic Literature Review

Phishing has become a serious and concerning problem within the past 10 years, with many reviews describing attack patterns and anticipating different method utilizations. This indicates that the results are still not comprehensive, subsequently leaving a critical gap in phishing reports. Therefore,...

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Bibliographic Details
Published in:IEEE access 2022, Vol.10, p.41574-41591
Main Authors: Abdillah, Rahmad, Shukur, Zarina, Mohd, Masnizah, Murah, Ts. Mohd Zamri
Format: Article
Language:English
Subjects:
Classification
Electronic mail
Feature extraction
Literature reviews
Machine learning
Performance evaluation
Phishing
Social networking (online)
systematic literature review
Systematics
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Summary:Phishing has become a serious and concerning problem within the past 10 years, with many reviews describing attack patterns and anticipating different method utilizations. This indicates that the results are still not comprehensive, subsequently leaving a critical gap in phishing reports. Therefore, this study aims to conduct a systematic review, to show a more crucial issue in phishing attacks, namely classification techniques. These issues were categorized into techniques, datasets, performance evaluation, and phishing types. The obtained results are expected to help developers prevent future phishing attacks more effectively, especially in selectively and carefully determining the techniques and evaluations to address specific types of phishing.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3166474