Machine Learning Models with Neutrosophic Numbers for Network Anomaly Detection and Security Defense Technology

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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Bibliographic Details
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
Series:Neutrosophic Sets and Systems
Subjects:
neutrosophic number
security
network anomaly detection
cybersecurity
uncertainty
Online Access:https://fs.unm.edu/NSS/3AnomalyDetection.pdf
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https://fs.unm.edu/NSS/3AnomalyDetection.pdf

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