Data-driven network intrusion detection using optimized machine learning algorithms

Data-driven network intrusion detection using optimized machine learning algorithms

Network intrusion detection systems (NIDS) play a crucial role in maintaining cybersecurity by identifying malicious network activities. This study presents a comprehensive evaluation of machine learning approaches for network intrusion detection, comparing the performance of Decision Trees (DT), Ra...

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Bibliographic Details
Main Authors: Dauda Adeite Adenusi, Oladosu Oyebisi Oladimeji, Theopilus Adekunle Oyekola, Korede Solomon Olagunju
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Franklin Open
Subjects:
Intrusion detection system
Machine learning
Cyber security
Data preprocessing
Online Access:http://www.sciencedirect.com/science/article/pii/S2773186325001276
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