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Machine Learning for Phishing Detection by sushmithahs060 is a document available to read on EtoBox.

What is Machine Learning for Phishing Detection about?

The document presents a machine learning-based approach for detecting and preventing phishing attacks, focusing on the use of the XGBoost algorithm due to its high predictive accuracy. It discusses the importance of automated systems to identify phishing attempts effectively and compares various machine learning techniques, highlighting the superiority of XGBoost over traditional methods. The research emphasizes the need for advanced solutions to combat the increasing sophistication of phishing attacks, uti

Author

sushmithahs060

Language

EN