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International Journal for Research Trends and Innovation
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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 : 10
Issue Published : 108
Article Submitted : 14992
Article Published : 6724
Total Authors : 17995
Total Reviewer : 658
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| Paper Title: | A Supervised Intrusion Detection System Using Ensemble Classifiers |
| Authors Name: | Tincy Thomas , Vidhya vijayan , Aby Abahai T , Eldo P Elias |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_180689
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| Published Paper Id: | IJRTI1902010 |
| Published In: | Volume 4 Issue 2, February-2019 |
| DOI: | |
| Abstract: | Classifying network connections as normal or anomalous is an important problem in the area of intrusion detection. Current algorithms and methods result in high false alarm rate. A high false alarm rate makes IDS ineffective. We propose a novel IDS using Ensemble classifier which combine eight week classifiers (Naive Bayes, Random Tree, ZeroR, OneR, Bayesian network, J48, SVM, KNN) to enhance attack detection. Idea behind ensemble classification is to exploit the strength of weak learning algorithms to obtain a robust and efficient classifier. Kyoto data set is loaded for pre-processing. After pre-processing, the data set is used for training using ensemble classifier. Average of probability combination rule is applied to test the class of a sample. During the testing phase, instances of the Kyoto data set are introduced to proposed ensemble classifier by hiding their class to which they belong. We build the ensemble classifier using WEKA machine learning tool. This ensemble classifier predicts the networks traffic data as normal or malicious. |
| Keywords: | Ensemble classifier, Intrusion detection system, supervised learning |
| Cite Article: | "A Supervised Intrusion Detection System Using Ensemble Classifiers", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 2, page no.49 - 53, February-2019, Available :http://www.ijrti.org/papers/IJRTI1902010.pdf |
| Downloads: | 000204830 |
| 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: IJRTI1902010
Registration ID:180689
Published In: Volume 4 Issue 2, February-2019
DOI (Digital Object Identifier):
Page No: 49 - 53 Country: Ernakulam, kerala, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1902010 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1902010 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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