Data mining in network traffic using fuzzy clustering
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 t...
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| 主要作者: | |
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| 格式: | Thesis |
| 语言: | English |
| 出版: |
2003
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| 主题: | |
| 在线阅读: | http://eprints.uthm.edu.my/8630/1/24p%20SHAMSUL%20MOHAMAD.pdf |
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| 总结: | 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. |
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