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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