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...
محفوظ في:
| المؤلف الرئيسي: | Hamza, Amr (author) |
|---|---|
| مؤلفون آخرون: | Hammam, Farah (author), Abouzeid, Medhat (author), Ahmed, Mohammad Arsalan (author), Dhou, Salam (author), Aloul, Fadi (author) |
| التنسيق: | article |
| منشور في: |
2024
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://hdl.handle.net/11073/26366 |
| الوسوم: |
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