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Proactive Phishing Defense: A URL Classification System Using Machine Learning

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Time: 01 Jan 1970, 08:00

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

Source: 2024 Asian Conference on Communication and Networks

Type: Virtual Presentation

File: Video No right to play Slide Attachment

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:

Jawad Samer

Aliraqia University