A Review of Machine Learning and Transfer Learning Strategies for Intrusion Detection Systems in 5G and Beyond

A Review of Machine Learning and Transfer Learning Strategies for Intrusion Detection Systems in 5G and Beyond

This review systematically explores the application of machine learning (ML) models in the context of Intrusion Detection Systems (IDSs) for modern network security, particularly within 5G environments. The evaluation is based on the 5G-NIDD dataset, a richly labeled resource encompassing a broad ra...

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Bibliographic Details
Main Authors: Kinzah Noor, Agbotiname Lucky Imoize, Chun-Ta Li, Chi-Yao Weng
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Mathematics
Subjects:
machine learning (ML)
deep learning (DL)
5G communication
network intrusion detection systems (NIDSs)
artificial intelligence (AI)
Internet of Things (IoT)
Online Access:https://www.mdpi.com/2227-7390/13/7/1088
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