Malicious URL and Intrusion Detection using Machine Learning

Malicious URL and Intrusion Detection using Machine Learning

Cyberattacks are becoming increasingly sophisticated and evolving danger to the Web users. Therefore, addressing the growing threat of cyberattacks and providing automated solutions became a necessity. The purpose of this paper is to use machine learning (ML) techniques for malicious websites detect...

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Bibliographic Details
Main Author: Hamza, Amr (author)
Other Authors: Hammam, Farah (author), Abouzeid, Medhat (author), Ahmed, Mohammad Arsalan (author), Dhou, Salam (author), Aloul, Fadi (author)
Format: article
Published: 2024
Subjects:
Malicious URLs
Machine learning
System penetration
Intrusion detection
Online Access:https://hdl.handle.net/11073/26366
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https://hdl.handle.net/11073/26366

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