Machine Learning Models with Neutrosophic Numbers for Network Anomaly Detection and Security Defense Technology
In the dynamic world of cybersecurity, strong solutions are necessary to safeguard intricate network systems. By looking at network anomaly detection and security protection, this study investigates how machine learning (ML) might increase digital infrastructure security. We assess how well critical...
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| Main Authors: | Hussein S Al-Khazraji, Ahmed M. Alkhamees, Humam M Al-Doori, Ahmed A. Metwaly, Mohamed eassa, Ahmed Abdelhafeez, Ahmed S. Salama, Ahmad M. Nagm |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of New Mexico
2025-05-01
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| Series: | Neutrosophic Sets and Systems |
| Subjects: | |
| Online Access: | https://fs.unm.edu/NSS/3AnomalyDetection.pdf |
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