[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 Hits：23 Virtual Presentation

Start Time：2024-10-25 09:45 （Asia/Bangkok）

Duration：15min

Session：[RS1] Regular Session 1 » [RS1-3] Emerging Trends of AI/ML

Video No Permission Presentation File Attachment File

Tips: The file permissions under this presentation are only for participants. You have not logged in yet and cannot view it temporarily.

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.