Improved Phishing Attack Detection with Machine Learning: A Comprehensive Evaluation of Classifiers and Features
In phishing attack detection, machine learning-based approaches are more effective than simple blacklisting strategies, as they can adapt to new types of attacks and do not require manual updates. However, for these approaches, the choice of features and classifiers directly influences detection per...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/24/13269 |