RimTouny/Phishing-Attack-Detection-using-Machine-Learning
Advancing Cybersecurity with AI: This project fortifies phishing defense using cutting-edge models, trained on a diverse dataset of 737,000 URLs. It was the final project for the AI for Cybersecurity course in my Master's at uOttawa in 2023.
This project helps cybersecurity analysts and IT security professionals automatically identify and flag suspicious website links. By analyzing various characteristics of a URL, it determines if a link is likely a phishing attempt or benign. The output is a clear classification (phishing or safe) for each URL.
No commits in the last 6 months.
Use this if you need a robust way to classify URLs for phishing threats, enhancing your organization's defenses against social engineering attacks.
Not ideal if you're looking for a user-friendly, out-of-the-box application rather than a machine learning model you can integrate.
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License
MIT
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Last pushed
Jan 12, 2024
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