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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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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21508
Article Published : 8513
Total Authors : 22399
Total Reviewer : 805
Total Countries : 158
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| Paper Title: | NETWORK INTRUSION DETECTION USING MACHINE LEARNING |
| Authors Name: | Dulam Srinivas , Prabhakar Kumar Thakur , Pramod Kumar , Kolluri Sindhu Sri Vani , Mr. S. Nirmal Sam |
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IJRTI_186254
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| Published Paper Id: | IJRTI2304260 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | With the evolution in wireless communication, there are many security threats over the internet. The intrusion detection system (IDS) helps to find the attacks on the system and the intruders are detected. Previously various machine learning (ML) techniques are applied on the IDS and tried to improve the results on the detection of intruders and to increase the accuracy of the IDS. This paper has proposed an approach to develop efficient IDS by using the principal component analysis (PCA) and the random forest classification algorithm. Where the PCA will help to organize the dataset by reducing the dimensionality of the dataset and the random forest will help in classification. Results obtained states that the proposed approach works more efficiently in terms of accuracy as compared to other techniques like SVM, Naïve Bayes, and Decision Tree. The results obtained by proposed method are having the values for performance time (min) is 3.24 minutes, Accuracy rate (%) is 96.78 %, and the Error rate (%) is 0.21 %. |
| Keywords: | Intrusion Detection System, Machine Learning , Random forest , Principal Component Analysis |
| Cite Article: | "NETWORK INTRUSION DETECTION USING MACHINE LEARNING", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1576 - 1585, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304260.pdf |
| Downloads: | 000205220 |
| 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: IJRTI2304260
Registration ID:186254
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 1576 - 1585 Country: Chennai, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2304260 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2304260 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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