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

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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Bibliographic Details
Main Authors: Krzysztof Uszko, Maciej Kasprzyk, Marek Natkaniec, Piotr Chołda
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Electronics
Subjects:
5G Wi-Fi security
MAC layer threats
network traffic analysis
threat detection
machine learning
Online Access:https://www.mdpi.com/2079-9292/12/11/2355

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