Clustering network traffic utilization
Classification of network traffic using distinctive characteristic application is not ideal for P2P and HTTP protocols. This is for the case when a user intercepts the application from other proxy or dynamic port, then the bytes utilization can be manipulated. In this paper, we present a clustering...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Praise Worthy Prize
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/30577/ http://psasir.upm.edu.my/id/eprint/30577/1/Clustering%20network%20traffic%20utilization.pdf |
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| author | Mohd Khairudin, Nazli Muda, Zaiton Mustapha, Aida Nagarathinam, Yogeswaran Salleh, Mohd. Sidek |
| author_facet | Mohd Khairudin, Nazli Muda, Zaiton Mustapha, Aida Nagarathinam, Yogeswaran Salleh, Mohd. Sidek |
| author_sort | Mohd Khairudin, Nazli |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Classification of network traffic using distinctive characteristic application is not ideal for P2P and HTTP protocols. This is for the case when a user intercepts the application from other proxy or dynamic port, then the bytes utilization can be manipulated. In this paper, we present a clustering approach for network traffic classification using information from one particular port. The clustering experiments were conducted using three different clustering algorithms, which are K-Means, DBScan and AutoClass. The analysis discussed on the quality of resulting clusters from all the algorithms.
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| first_indexed | 2025-11-15T09:07:09Z |
| format | Article |
| id | upm-30577 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:07:09Z |
| publishDate | 2013 |
| publisher | Praise Worthy Prize |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-305772015-10-07T07:59:49Z http://psasir.upm.edu.my/id/eprint/30577/ Clustering network traffic utilization Mohd Khairudin, Nazli Muda, Zaiton Mustapha, Aida Nagarathinam, Yogeswaran Salleh, Mohd. Sidek Classification of network traffic using distinctive characteristic application is not ideal for P2P and HTTP protocols. This is for the case when a user intercepts the application from other proxy or dynamic port, then the bytes utilization can be manipulated. In this paper, we present a clustering approach for network traffic classification using information from one particular port. The clustering experiments were conducted using three different clustering algorithms, which are K-Means, DBScan and AutoClass. The analysis discussed on the quality of resulting clusters from all the algorithms. Praise Worthy Prize 2013-05 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30577/1/Clustering%20network%20traffic%20utilization.pdf Mohd Khairudin, Nazli and Muda, Zaiton and Mustapha, Aida and Nagarathinam, Yogeswaran and Salleh, Mohd. Sidek (2013) Clustering network traffic utilization. International Review on Computers and Software, 8 (5). pp. 1076-1081. ISSN 1828-6003; ESSN: 1828-6011 |
| spellingShingle | Mohd Khairudin, Nazli Muda, Zaiton Mustapha, Aida Nagarathinam, Yogeswaran Salleh, Mohd. Sidek Clustering network traffic utilization |
| title | Clustering network traffic utilization |
| title_full | Clustering network traffic utilization |
| title_fullStr | Clustering network traffic utilization |
| title_full_unstemmed | Clustering network traffic utilization |
| title_short | Clustering network traffic utilization |
| title_sort | clustering network traffic utilization |
| url | http://psasir.upm.edu.my/id/eprint/30577/ http://psasir.upm.edu.my/id/eprint/30577/1/Clustering%20network%20traffic%20utilization.pdf |