International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Implement an Intrusion Detection System Utilizing Machine Learning and Principal Component Analysis

Rula Abdulwahid MohammedFaculty of Engineering, Islamic University of Lebanon, Wardanieh, LebanonYoussef A. BazziDepartment of Electrical and Computer Engineering, Lebanese University, Beirut, Lebanon

Vol 8 No 2 (2024): Volume 8, Issue 2, February 2024 | Pages: 1-7

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 08-02-2024

doi Logo doi.org/10.47001/IRJIET/2024.802001

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Abstract

The ever-evolving cybersecurity sector requires robust intrusion detection systems (IDS). Traditional rules-based measures are no longer sufficient due to the complexity of cyber threats, requiring new approaches. This study presents the architecture of an intrusion detection system combining machine learning and principal component analysis (PCA) to increase network security. A network traffic classification system was built and tested on the NSL-KDD dataset and used PCA for dimensionality reduction. The results were cross-validated to reduce overfitting and ensure generalizability of the model. Low-variance precision refers to the consistency of the cross-validation fold. The combination of PCA and machine learning models exceeds previous studies with an F1 score for the random forest model of over 99%. The study improves intrusion detection and network protection against cyber-attacks.

Keywords

Intrusion Detection System, Principal Components Analysis, NSL-KDD, Machine Learning, Cross Validation


Citation of this Article

Rula Abdulwahid Mohammed, Youssef A. Bazzi, “Implement an Intrusion Detection System Utilizing Machine Learning and Principal Component Analysis” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 8, Issue 2, pp 1-7, February 2024. Article DOI https://doi.org/10.47001/IRJIET/2024.802001

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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