Cover Image

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...

Full description

Saved in:
Bibliographic Details
Main Author: Mohamad, Shamsul
Format: Thesis
Language:English
Published: 2003
Subjects:
QA Mathematics
QA71-90 Instruments and machines
Online Access:http://eprints.uthm.edu.my/8240/1/24p%20SHAMSUL%20MOHAMAD.pdf
http://eprints.uthm.edu.my/8240/
Tags: Add Tag
No Tags, Be the first to tag this record!
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 13.211869

Similar Items