Performance evaluation of machine learning models for intrusion detection system
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Date
2025-06-15
Journal Title
Journal ISSN
Volume Title
Publisher
Mohamed Boudiaf University of M'sila
Abstract
In order to improve cybersecurity, this final year project investigates the use
of machine learning (ML) in intrusion detection systems (IDS). Its main goal
is to create an intelligent intrusion detection system (IDS) that can accurately
identify and categorize network intrusions. The study demonstrates the efficacy
of these methods in enhancing threat detection and security resilience through
the application and assessment of multiple machine learning models.