DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, E | ko |
dc.contributor.author | Lee, S | ko |
dc.contributor.author | Kwon, K | ko |
dc.contributor.author | Kim, Sehun | ko |
dc.date.accessioned | 2013-03-11T08:42:46Z | - |
dc.date.available | 2013-03-11T08:42:46Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2010-03 | - |
dc.identifier.citation | JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, v.26, pp.527 - 547 | - |
dc.identifier.issn | 1016-2364 | - |
dc.identifier.uri | http://hdl.handle.net/10203/98833 | - |
dc.description.abstract | For computationally efficient and effective IDS, it is essential to identify important input features. In this paper, a statistical feature construction scheme is proposed in which factor analysis is orthogonally combined with an optimized k-means clustering technique. As a core component for unsupervised anomaly detection, the proposed feature construction scheme is able to exclude the redundancy of features optimally via the consideration of the similarity of feature responses through a clustering analysis based on the feature space reduced in a factor analysis. The performance of the proposed method was evaluated using different data sets reduced by the ranking of the importance of input features. Experimental results show a significant detection rate through a good subset of features deemed to be critical to the improvement of the performance of classifiers. | - |
dc.language | English | - |
dc.publisher | INST INFORMATION SCIENCE | - |
dc.title | Feature Construction Scheme for Efficient Intrusion Detection System | - |
dc.type | Article | - |
dc.identifier.wosid | 000276057900012 | - |
dc.identifier.scopusid | 2-s2.0-77950450063 | - |
dc.type.rims | ART | - |
dc.citation.volume | 26 | - |
dc.citation.beginningpage | 527 | - |
dc.citation.endingpage | 547 | - |
dc.citation.publicationname | JOURNAL OF INFORMATION SCIENCE AND ENGINEERING | - |
dc.contributor.localauthor | Kim, Sehun | - |
dc.contributor.nonIdAuthor | Kim, E | - |
dc.contributor.nonIdAuthor | Lee, S | - |
dc.contributor.nonIdAuthor | Kwon, K | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | intrusion detection | - |
dc.subject.keywordAuthor | feature construction | - |
dc.subject.keywordAuthor | factor analysis | - |
dc.subject.keywordAuthor | k-means clustering | - |
dc.subject.keywordAuthor | self organizing map | - |
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