Clustering Network Traffic Utilization

Nazli Mohd. Khairudin; Zaiton Muda; Aida Mustapha; Yogeswaran Nagarathinam; Mohd. Sidek Salleh

doi:10.15866/irecos.v8i5.3252

Clustering Network Traffic Utilization

Nazli Mohd. Khairudin^(1*), Zaiton Muda⁽²⁾, Aida Mustapha⁽³⁾, Yogeswaran Nagarathinam⁽⁴⁾, Mohd. Sidek Salleh⁽⁵⁾

^(*) Corresponding author

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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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Keywords

AutoClass; Clustering; DBScan; K-Means; Network Traffic Utilization

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