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Clustering network traffic utilization


Citation

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

Abstract

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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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Publisher: Praise Worthy Prize
Keywords: Network traffic utilization; Clustering network traffic; Network traffic
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 15 May 2015 08:15
Last Modified: 07 Oct 2015 07:59
URI: http://psasir.upm.edu.my/id/eprint/30577
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