Analyze the Delay Time by Data Mining for Network Intrusion Prevention System Using Bro
The important for using the network are increased day by day, and the important for the security for these networks are more important. To implement secure network, the network administrator use several type of security systems and software tools, the most focus systems used in this area are the fi...
| 第一著者: | |
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| フォーマット: | Dissertation |
| 言語: | 英語 英語 |
| 出版事項: |
2009
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| 主題: | |
| オンライン･アクセス: | https://etd.uum.edu.my/1770/1/Kaled_Hussain_Azrane.pdf https://etd.uum.edu.my/1770/2/1.Kaled_Hussain_Azrane.pdf https://etd.uum.edu.my/1770/ |
| Abstract | Abstract here |
| 要約: | The important for using the network are increased day by day, and the important for the security for these networks are more important. To implement secure network, the network administrator use several type of security systems and software tools, the most focus systems used in this area are the firewalls and the intrusion detection and prevention systems. There are many features developed every year for these systems and there are many studies done to evaluate and develop these systems, this thesis focus on evaluate the performance for one of famous open free source intrusion detection and prevention system, which is Bro IDS, the thesis will test the performance for Bro in different situations to determine which conditions make Bro work with the minimum delay time for the packets, the thesis will use the data mining tool which it SPSS, to
analyse the effects for the main policies on the delay time for the packets when the Bro work as intrusion prevention system. |
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