Rule-Based System with Machine Learning Support for Detecting Anomalies in 5G WLANs

The purpose of this paper is to design and implement a complete system for monitoring and detecting attacks and anomalies in 5G wireless local area networks. Regrettably, the development of most open source systems has been stopped, making them unable to detect emerging forms of threats. The system...

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Veröffentlicht in:	Electronics (Basel) Jg. 12; H. 11; S. 2355
Hauptverfasser:	Uszko, Krzysztof, Kasprzyk, Maciej, Natkaniec, Marek, Chołda, Piotr
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 23.05.2023
Schlagworte:	5G mobile communication Accuracy Anomalies Connectivity Data security Efficiency Intrusion detection systems Local area networks Machine learning Methods Modular systems Network security Safety and security measures Wide area networks Wireless local area networks (Computer networks) Wireless networks Poland
ISSN:	2079-9292, 2079-9292
Online-Zugang:	Volltext
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