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What is Phishing Website Analyzer Report about?

This document presents a literature review of prior research on phishing website detection using machine learning techniques. Several studies are summarized that used datasets of phishing and legitimate URLs to evaluate classifiers including support vector machines, random forests, neural networks, decision trees and Naive Bayes. Accuracies of over 90% were typically achieved, with one study obtaining 99.18% using an RNN-GRU model. Features examined included attributes from the URL, web traffic data, port n

Author

5082 SAKTHIVEL

Language

EN