This project aims to develop a phishing detection system that analyzes suspicious emails and URLs to identify potential fraud attempts and improve email security awareness.
Study phishing attack patterns and social engineering tactics.
Collect dataset of phishing and legitimate URLs.
Extract features such as domain age, URL length, and HTTPS usage.
Implement classification model for phishing detection.
Analyze email headers for spoofing detection.
Evaluate model accuracy and false positives.
Generate warning alerts for suspicious links.
Document detection techniques and prevention strategies.
