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...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 语言: | English |
| 出版: |
2003
|
| 主题: | |
| 在线阅读: | http://eprints.uthm.edu.my/8240/1/24p%20SHAMSUL%20MOHAMAD.pdf http://eprints.uthm.edu.my/8240/ |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
| id |
my.uthm.eprints.8240 |
|---|---|
| record_format |
eprints |
| spelling |
my.uthm.eprints.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. |
| institution |
Universiti Tun Hussein Onn Malaysia |
| building |
UTHM Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Tun Hussein Onn Malaysia |
| content_source |
UTHM Institutional Repository |
| url_provider |
http://eprints.uthm.edu.my/ |
| language |
English |
| topic |
QA Mathematics QA71-90 Instruments and machines |
| spellingShingle |
QA Mathematics QA71-90 Instruments and machines 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 |
| 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 |
| publishDate |
2003 |
| url |
http://eprints.uthm.edu.my/8240/1/24p%20SHAMSUL%20MOHAMAD.pdf http://eprints.uthm.edu.my/8240/ |
| _version_ |
1758580261106221056 |
| score |
13.250439 |