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[Virtual Presentation]Proactive Phishing Defense: A URL Classification System Using Machine Learning
Proactive Phishing Defense: A URL Classification System Using Machine Learning
ID：80
Submission ID：16 View Protection：ATTENDEE
Updated Time：2024-10-12 10:03:13
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Virtual Presentation
Start Time：2024-10-26 10:20 （Asia/Bangkok）
Duration：15min
Session：[RS1] Regular Session 1 » [RS1-3] Emerging Trends of AI/ML
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Abstract
Phishing attacks are the most common cyber attacks nowadays. Phishing attacks rely on social engineering concepts. However, URLs are a fulcrum for phishing attacks. A web application is proposed to classify URLs based on the Random Forest model, and results with an accuracy of 98.2% are achieved.
Keywords
Decision trees, Feature extraction, Phishing, Random Forest, URLs.
Speaker
Samer Jawad
Researcher Aliraqia UniversitySubmission Author
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