Data mining in network traffic using fuzzy clustering

Mohamad, Shamsul (2003) Data mining in network traffic using fuzzy clustering. Masters thesis, Universiti Sains Malaysia.


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Nowadays, in network traffic, we have various application such as HfTP, Telnet, SMTP, FTP and NetBIOS. These various application make it difficult for the network administrator to model certain network traffic. The network traffic model is very important to know whether that particular network traffic is normal or abnormal. In this project, I have developed a program to capture and filter the packets based on the application. The fuzzy clustering process are made using three algorithms : Fuzzy C-Means (FCM), Gustafsof-Kessel (GK) and Gath-Geva (GG) algorithm. The production of clustering are used to build rules.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA71-90 Instruments and machines
Depositing User: Mrs. Sabarina Che Mat
Date Deposited: 07 Feb 2023 03:35
Last Modified: 07 Feb 2023 03:35

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