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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19445
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 144
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| Paper Title: | Network Intrusion detection system using machine learning |
| Authors Name: | Fayas Muhammed , Johann Dominic Thomas , Akash Biju , Andrew Sebi Varghese , Adithyan A S |
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IJRTI_200235
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| Published Paper Id: | IJRTI2501030 |
| Published In: | Volume 10 Issue 1, January-2025 |
| DOI: | |
| Abstract: | Network Intrusion Detection Systems (NIDS) are vital in cybersecurity due to the increasing complexity of cyber attacks. This survey reviews machine learning approaches in NIDS, examining their development, current status, and future directions. We categorise and evaluate traditional algorithms, deep learning methods, and hybrid approaches, discussing key datasets, feature selec tion, and performance metrics. The study addresses chal lenges such as class imbalance, high false positive rates, and real-time detection, while also exploring trends like federated learning, transfer learning, and explainable AI within NIDS. Despite promising results, ML-based NIDS face challenges in achieving optimal performance in dy namic network environments, presenting areas for further research and enhancement. |
| Keywords: | Network Intrusion Detection Systems (NIDS); Machine Learning; Deep Learning; Cybersecurity; Feature Selection; Anomaly Detection; Network Security; Classification; Supervised Learning; Unsupervised Learning |
| Cite Article: | "Network Intrusion detection system using machine learning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 1, page no.a214-a218, January-2025, Available :http://www.ijrti.org/papers/IJRTI2501030.pdf |
| Downloads: | 000415 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2501030
Registration ID:200235
Published In: Volume 10 Issue 1, January-2025
DOI (Digital Object Identifier):
Page No: a214-a218 Country: Kottayam, Kerala, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2501030 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2501030 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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