About this document

Real-Time Phishing Detection System by pravallikajaddu123 is a document available to read on EtoBox.

This project presents a real-time anti-phishing system utilizing machine learning and NLP to effectively detect phishing URLs, achieving a high accuracy rate of 97.98% with the Random Forest algorithm. The system employs various classification algorithms and feature extraction techniques, including PCA, to enhance detection capabilities without relying on third-party services. The research contributes significantly to cybersecurity by providing robust methods for identifying phishing threats and ensuring sa

Author

pravallikajaddu123

Language

EN