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What is Phishing Website Detection with ML about?

The document presents a survey on phishing website detection using machine learning techniques, highlighting the increasing sophistication of phishing attacks and the necessity for effective detection methods. It discusses various features and algorithms employed in detecting phishing websites, including Decision Trees, Random Forests, and Support Vector Machines. The study emphasizes the importance of user awareness and proposes future enhancements for improving detection systems.

Author

IJRASETPublications

Language

EN