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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | A Study of Intrusion Detection System (IDS) through Machine Learning Algorithm |
| Authors Name: | Preeti Gupta |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_189356
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| Published Paper Id: | IJNRD2303333 |
| Published In: | Volume 8 Issue 3, March-2023 |
| DOI: | http://doi.one/10.1729/Journal.33436 |
| Abstract: | 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. |
| Keywords: | ID, machine learning, NSL-KDD dataset, feature selection. |
| Cite Article: | "A Study of Intrusion Detection System (IDS) through Machine Learning Algorithm", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 3, page no.d227-d231, March-2023, Available :http://www.ijnrd.org/papers/IJNRD2303333.pdf |
| Downloads: | 000118769 |
| 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 |
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Published Paper ID:IJNRD2303333 Registration ID: 189356 Published In: Volume 8 Issue 3, March-2023 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.33436 Page No: d227-d231 Country: Ghaziabad, Uttar Pradesh, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2303333 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2303333 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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