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Virtual Presentation

Proactive Phishing Defense: A URL Classification System Using Machine Learning

Speakers: Samer Jawad

Track: 5. Emerging Trends of AI/ML

📑 No Slides 🎬 No Video

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.

Speakers

Samer Jawad
Researcher
Aliraqia University

Details

Type
Virtual Presentation
Model
OFFLINE
Language
EN
Timezone
UTC+8
Views
164
Likes
5