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...
| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2003
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| Online Access: | http://eprints.uthm.edu.my/8240/ |
| Abstract | Abstract here |
| _version_ | 1855520781273923584 |
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| author | Mohamad, Shamsul |
| author_facet | Mohamad, Shamsul |
| author_sort | Mohamad, Shamsul |
| description | 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. |
| format | Thesis |
| id | uthm-8240 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| publishDate | 2003 |
| record_format | EPrints |
| record_pdf | Restricted |
| spelling | uthm-82402023-02-07T03:35:48Z http://eprints.uthm.edu.my/8240/ Data mining in network traffic using fuzzy clustering Mohamad, Shamsul QA Mathematics QA71-90 Instruments and machines 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. 2003-12 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/8240/1/24p%20SHAMSUL%20MOHAMAD.pdf Mohamad, Shamsul (2003) Data mining in network traffic using fuzzy clustering. Masters thesis, Universiti Sains Malaysia. |
| spellingShingle | QA Mathematics QA71-90 Instruments and machines Mohamad, Shamsul Data mining in network traffic using fuzzy clustering |
| thesis_level | Master |
| title | Data mining in network traffic using fuzzy clustering |
| title_full | Data mining in network traffic using fuzzy clustering |
| title_fullStr | Data mining in network traffic using fuzzy clustering |
| title_full_unstemmed | Data mining in network traffic using fuzzy clustering |
| title_short | Data mining in network traffic using fuzzy clustering |
| title_sort | data mining in network traffic using fuzzy clustering |
| topic | QA Mathematics QA71-90 Instruments and machines |
| url | http://eprints.uthm.edu.my/8240/ |
| work_keys_str_mv | AT mohamadshamsul datamininginnetworktrafficusingfuzzyclustering |