A Feature Selection Approach for Network Intrusion Detection
Processing huge amount of collected network data to identify network intrusions needs high computational cost. Reducing features in the collected data may therefore solve the problem. We proposed an approach for obtaining optimal number of features to build an efficient model for intrusion detection...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/1938/ |
| _version_ | 1848789919366905856 |
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| author | Khor, Kok-Chin Ting, Choo-Yee Amnuaisuk, Somnuk-Phon |
| author_facet | Khor, Kok-Chin Ting, Choo-Yee Amnuaisuk, Somnuk-Phon |
| author_sort | Khor, Kok-Chin |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | Processing huge amount of collected network data to identify network intrusions needs high computational cost. Reducing features in the collected data may therefore solve the problem. We proposed an approach for obtaining optimal number of features to build an efficient model for intrusion detection system (IDS). Two feature selection algorithms were involved to generate two feature sets. These two features sets were then utilized to produce a combined and a shared feature set, respectively. The shared feature set consisted of features agreed by the two feature selection algorithms and therefore considered important features for identifying intrusions. Human intervention was then conducted to find an optimal number of features in between the combined (maximum) and shared feature sets (minimum). Empirical results showed that the proposed feature set gave equivalent results compared to the feature sets generated by the selected feature selection methods, and combined feature sets. |
| first_indexed | 2025-11-14T18:04:22Z |
| format | Conference or Workshop Item |
| id | mmu-1938 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:04:22Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-19382011-09-23T03:57:38Z http://shdl.mmu.edu.my/1938/ A Feature Selection Approach for Network Intrusion Detection Khor, Kok-Chin Ting, Choo-Yee Amnuaisuk, Somnuk-Phon T Technology (General) QA75.5-76.95 Electronic computers. Computer science Processing huge amount of collected network data to identify network intrusions needs high computational cost. Reducing features in the collected data may therefore solve the problem. We proposed an approach for obtaining optimal number of features to build an efficient model for intrusion detection system (IDS). Two feature selection algorithms were involved to generate two feature sets. These two features sets were then utilized to produce a combined and a shared feature set, respectively. The shared feature set consisted of features agreed by the two feature selection algorithms and therefore considered important features for identifying intrusions. Human intervention was then conducted to find an optimal number of features in between the combined (maximum) and shared feature sets (minimum). Empirical results showed that the proposed feature set gave equivalent results compared to the feature sets generated by the selected feature selection methods, and combined feature sets. 2009-04 Conference or Workshop Item NonPeerReviewed Khor, Kok-Chin and Ting, Choo-Yee and Amnuaisuk, Somnuk-Phon (2009) A Feature Selection Approach for Network Intrusion Detection. In: International Conference on Information Management and Engineering, APR 03-05, 2009, Kuala Lumpur, MALAYSIA. http://dx.doi.org/10.1109/ICIME.2009.68 doi:10.1109/ICIME.2009.68 doi:10.1109/ICIME.2009.68 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science Khor, Kok-Chin Ting, Choo-Yee Amnuaisuk, Somnuk-Phon A Feature Selection Approach for Network Intrusion Detection |
| title | A Feature Selection Approach for Network Intrusion Detection |
| title_full | A Feature Selection Approach for Network Intrusion Detection |
| title_fullStr | A Feature Selection Approach for Network Intrusion Detection |
| title_full_unstemmed | A Feature Selection Approach for Network Intrusion Detection |
| title_short | A Feature Selection Approach for Network Intrusion Detection |
| title_sort | feature selection approach for network intrusion detection |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/1938/ http://shdl.mmu.edu.my/1938/ http://shdl.mmu.edu.my/1938/ |