Machine Learning-Based Network Anomaly Detection: Design, Implementation, and Evaluation

Machine Learning-Based Network Anomaly Detection: Design, Implementation, and Evaluation

<b>Background:</b> In the last decade, numerous methods have been proposed to define and detect outliers, particularly in complex environments like networks, where anomalies significantly deviate from normal patterns. Although defining a clear standard is challenging, anomaly detection s...

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Bibliographic Details
Main Authors: Pilar Schummer, Alberto del Rio, Javier Serrano, David Jimenez, Guillermo Sánchez, Álvaro Llorente
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:AI
Subjects:
anomaly detection
explainable AI
machine learning
network anomalies
network performance
Online Access:https://www.mdpi.com/2673-2688/5/4/143
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