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A Comprehensive Machine Learning Framework For Phishing Detection Using URL, Content, Network, and Behavioral Feature Engineering by amanyadav70844 is a document available to read on EtoBox.

This paper presents a comprehensive machine learning framework for phishing detection that integrates various feature engineering techniques, including URL, content, network, and behavioral indicators. The proposed system evaluates multiple supervised learning algorithms, demonstrating that ensemble-based models significantly outperform individual classifiers in terms of accuracy and robustness. The framework aims to provide a scalable and effective solution for real-time phishing detection, addressing the

Author

amanyadav70844

Language

EN