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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Paper Title
LOW-HIGH SPLIT CLUSTERING FOR ANOMALY BASED DETECTION OF NETWORK ATTACKS
Authors
Avinash R. Sonule, Mukesh Kalla, Amit Jain, D S Chouhan
Keywords
UNSW NB-15, Machine Learning, Low-High Distance, Low-High Split Clustering Algorithm.
Abstract
The network attacks detection become the prime security problems in the day today life. As the use of computing resources is increased, cyberpunks are planning new tactics of network attacks. Many techniques have been invented to detect these attacks which are based on data mining and machine learning approaches. Many clustering methods have been used to detect network intrusions. These intrusions detection methods have been applied on various IDS datasets. UNSW-NB15 is the newest dataset which contains different modern attack types and normal activities. In this paper, we have proposed unsupervised machine learning algorithms for anomaly based detection on reduced UNSW NB15 dataset.
IJCRT's Publication Details
Unique Identification Number - IJCRT2204575
Paper ID - 218722
Page Number(s) - e934-e941
Pubished in - Volume 10 | Issue 4 | April 2022
DOI (Digital Object Identifier) - http://doi.one/10.1729/Journal.30039
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Avinash R. Sonule, Mukesh Kalla, Amit Jain, D S Chouhan, "LOW-HIGH SPLIT CLUSTERING FOR ANOMALY BASED DETECTION OF NETWORK ATTACKS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 4, pp.e934-e941, April 2022, Available at :http://www.ijcrt.org/papers/IJCRT2204575.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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