Comprehensive Analysis and Evaluation of Anomalous User Activity in Web Server Logs
In this study, we present a novel machine learning framework for web server anomaly detection that uniquely combines the Isolation Forest algorithm with expert evaluation, focusing on individual user activities within NGINX server logs. Our approach addresses the limitations of traditional methods b...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , |
|---|---|
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
MDPI AG
2024-01-01
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| Σειρά: | Sensors |
| Θέματα: | |
| Διαθέσιμο Online: | https://www.mdpi.com/1424-8220/24/3/746 |
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