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A Review on Machine Learning and Deep Learning Based Modern Intrusion Detection Techniques for Mobile AdHoc Networks

Year: 2025
Type: article
Abstract: Intrusion detection is very essential to secure any network communication. Different intrusion detection methods for MANET using Machine Learning techniques are reviewed. The main goal is to present the progress developments in intrusion detection techniques from traditional methods to the recent advanced Machine learning techniques. Usage of Machine leaning approach in intrusion detection is significantly increasing in recent years. Review on various Machine leaning techniques, types of intrusion, role of classification methods and data sets used are presented in this paper.
Language: English
Open Access status: gold
OpenAlex ID: W4416392191
FWCI:
Cites: 20
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