A Hybrid Machine Learning and Rule-Based Approach for Phishing Website Detection Using URL Features
Phishing attacks are considered one of the highest risks to cybersecurity, as they exploit users by pretending to be a valid site and gaining access to sensitive data. Traditional methods of detection, including blacklist-based systems, cannot uncover newly created phishing sites (zero-day attacks),...
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| Formaat: | Artigo |
| Taal: | Árabe |
| Gepubliceerd in: |
University of Information Technology and Communications
2026-07-01
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| Reeks: | Iraqi Journal for Computers and Informatics |
| Onderwerpen: | |
| Online toegang: | https://ijci.uoitc.edu.iq/index.php/ijci/article/view/816 |
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