Anomaly network intrusion detection method in network security based on principle component analysis
Most current intrusion detection methods cannot process large amounts of audit data for real-time operation. In this paper, anomaly network intrusion detection method based on Principle Component Analysis (PCA) for data reduction and classifier in presented. Each network connection is transformed in...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Penerbit UTM Press
2006
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| Online Access: | http://eprints.utm.my/3288/1/114_Witcha_D06.pdf |
| _version_ | 1825909367471341568 |
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| author | Chimphlee, Witcha Md Sap, Mohd Noor Abdullah, Abdul Hanan Chimphlee, Siriporn |
| author_facet | Chimphlee, Witcha Md Sap, Mohd Noor Abdullah, Abdul Hanan Chimphlee, Siriporn |
| author_sort | Chimphlee, Witcha |
| collection | ePrints |
| description | Most current intrusion detection methods cannot process large amounts of audit data for real-time operation. In this paper, anomaly network intrusion detection method based on Principle Component Analysis (PCA) for data reduction and classifier in presented. Each network connection is transformed into an input data vector. Moreover, PCA is applied to reduce the high dimensional data vectors and distance between a vector, and its projection onto the subspace. Based on the preliminary analysis using a set of benchmark data from KDD (Knowledge Discovery and Data Mining) Competition designed by DARPA, PCA demonstrates the ability to reduce huge dimensional data into a lower dimensional subspace without losing important information. This finding can be used to further enhance the detection accuracy in detecting new types of intrusion by taking PCA as the preprocessing requirement in reducing high dimensional data. |
| first_indexed | 2024-03-05T18:01:06Z |
| format | Article |
| id | utm.eprints-3288 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:01:06Z |
| publishDate | 2006 |
| publisher | Penerbit UTM Press |
| record_format | dspace |
| spelling | utm.eprints-32882017-11-01T04:17:28Z http://eprints.utm.my/3288/ Anomaly network intrusion detection method in network security based on principle component analysis Chimphlee, Witcha Md Sap, Mohd Noor Abdullah, Abdul Hanan Chimphlee, Siriporn QA75 Electronic computers. Computer science Most current intrusion detection methods cannot process large amounts of audit data for real-time operation. In this paper, anomaly network intrusion detection method based on Principle Component Analysis (PCA) for data reduction and classifier in presented. Each network connection is transformed into an input data vector. Moreover, PCA is applied to reduce the high dimensional data vectors and distance between a vector, and its projection onto the subspace. Based on the preliminary analysis using a set of benchmark data from KDD (Knowledge Discovery and Data Mining) Competition designed by DARPA, PCA demonstrates the ability to reduce huge dimensional data into a lower dimensional subspace without losing important information. This finding can be used to further enhance the detection accuracy in detecting new types of intrusion by taking PCA as the preprocessing requirement in reducing high dimensional data. Penerbit UTM Press 2006-12 Article PeerReviewed application/pdf en http://eprints.utm.my/3288/1/114_Witcha_D06.pdf Chimphlee, Witcha and Md Sap, Mohd Noor and Abdullah, Abdul Hanan and Chimphlee, Siriporn (2006) Anomaly network intrusion detection method in network security based on principle component analysis. Jurnal Teknologi Maklumat, 18 (2). pp. 114-124. ISSN 0128-3790 |
| spellingShingle | QA75 Electronic computers. Computer science Chimphlee, Witcha Md Sap, Mohd Noor Abdullah, Abdul Hanan Chimphlee, Siriporn Anomaly network intrusion detection method in network security based on principle component analysis |
| title | Anomaly network intrusion detection method in network security based on principle component analysis |
| title_full | Anomaly network intrusion detection method in network security based on principle component analysis |
| title_fullStr | Anomaly network intrusion detection method in network security based on principle component analysis |
| title_full_unstemmed | Anomaly network intrusion detection method in network security based on principle component analysis |
| title_short | Anomaly network intrusion detection method in network security based on principle component analysis |
| title_sort | anomaly network intrusion detection method in network security based on principle component analysis |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/3288/1/114_Witcha_D06.pdf |
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