A Study of Intrusion Detection System (IDS) through Machine Learning Algorithm

A Study of Intrusion Detection System (IDS) through Machine Learning Algorithm

Registration ID: IJNRD_189356

Published ID: IJNRD2303333

DOI: http://doi.one/10.1729/Journal.33436

Preeti Gupta

ID, machine learning, NSL-KDD dataset, feature selection.

Due to the advancement of internet, the number of attacks over internet has also increased. To ensure the security of a network a good Intrusion Detection System (IDS) is required. The aim of IDS is to monitor the processes prevailing in a network and to analyse them for signs of any possible deviations. Some studies have been done in this field but a deep and exhaustive work has still not been done. This paper proposes an IDS using machine leaning for network with a good union of feature selection technique and classifier by studying the combinations of most of the popular feature selection techniques and classifiers. A set of significant features is selected from the original set of features using feature selection techniques and then the set of significant features is used to train different types of classifiers to make the IDS. Intrusion detection is performed on the dataset which contain Test data and Training data. It is finally observed that K-NN classifier produces better performance than others and, among the feature selection methods, information gain ratio based feature selection method is better.

Published Paper   E-Certificate

"A Study of Intrusion Detection System (IDS) through Machine Learning Algorithm", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.d227-d231, March-2023, Available :https://ijnrd.org/papers/IJNRD2303333.pdf

Volume 8 Issue 3, March-2023

Pages : d227-d231

Paper Reg. ID: IJNRD_189356

Published Paper Id: IJNRD2303333

Downloads: 000121133

Research Area: Computer Engineering 

Country: Ghaziabad, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303333.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303333

DOI: http://doi.one/10.1729/Journal.33436

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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