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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| المؤلف الرئيسي: | |
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| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
2003
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://eprints.uthm.edu.my/8630/1/24p%20SHAMSUL%20MOHAMAD.pdf |
| الوسوم: |
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my-uthm-ep.8630 |
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my-uthm-ep.86302023-05-02T02:11:54Z Data mining in network traffic using fuzzy clustering 2003-10 Mohamad, Shamsul QA Mathematics QA76 Computer software 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. 2003-10 Thesis http://eprints.uthm.edu.my/8630/ http://eprints.uthm.edu.my/8630/1/24p%20SHAMSUL%20MOHAMAD.pdf text en public mphil masters Universiti Sains Malaysia Pusat Pengajian Sains Komputer |
| institution |
Universiti Tun Hussein Onn Malaysia |
| collection |
UTHM Institutional Repository |
| language |
English |
| topic |
QA Mathematics QA76 Computer software |
| spellingShingle |
QA Mathematics QA76 Computer software Mohamad, Shamsul Data mining in network traffic using fuzzy clustering |
| 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 |
| qualification_name |
Master of Philosophy (M.Phil.) |
| qualification_level |
Master's degree |
| author |
Mohamad, Shamsul |
| author_facet |
Mohamad, Shamsul |
| author_sort |
Mohamad, Shamsul |
| title |
Data mining in network traffic using fuzzy clustering |
| title_short |
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_sort |
data mining in network traffic using fuzzy clustering |
| granting_institution |
Universiti Sains Malaysia |
| granting_department |
Pusat Pengajian Sains Komputer |
| publishDate |
2003 |
| url |
http://eprints.uthm.edu.my/8630/1/24p%20SHAMSUL%20MOHAMAD.pdf |
| _version_ |
1776103376534110208 |