A survey that ranks phishing URL classifiers by averaging published accuracy values, with naive Bayes lowest and random forest highest, plus an unvalidated proposal for a two-stage RF-CNN detector.
Phishing detection using machine learning techniques
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An investigation into the performances of the Current state-of-the-art Naive Bayes, Non-Bayesian and Deep Learning Based Classifier for Phishing Detection: A Survey
A survey that ranks phishing URL classifiers by averaging published accuracy values, with naive Bayes lowest and random forest highest, plus an unvalidated proposal for a two-stage RF-CNN detector.