Network Anomaly Detection using Hybrid Feature Selection

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dc.contributor.authorKim, Eunhye-
dc.contributor.authorKim, Sehun-
dc.date.accessioned2009-10-19T04:44:32Z-
dc.date.available2009-10-19T04:44:32Z-
dc.date.created2012-02-06-
dc.date.issued2006-06-30-
dc.identifier.citation한국정보보호학회 하계정보보호학술대회, v.16, no.1, pp.649 - 653-
dc.identifier.urihttp://hdl.handle.net/10203/11884-
dc.description.sponsorship"This research was supported by MIC(Ministry of Information and Communication), Korea, under the ITRC(Information Technology Research Center) support program supervised by IITA(Institute of Information Technology Assessment)" (IITA-2005-(C1090-0502-0020))en
dc.languageKOR-
dc.language.isoen_USen
dc.publisher한국정보보호학회-
dc.titleNetwork Anomaly Detection using Hybrid Feature Selection-
dc.typeConference-
dc.publisher.alternative한국정보보호학회en
dc.type.rimsCONF-
dc.citation.volume16-
dc.citation.issue1-
dc.citation.beginningpage649-
dc.citation.endingpage653-
dc.citation.publicationname한국정보보호학회 하계정보보호학술대회-
dc.identifier.conferencecountrySouth Korea-
dc.identifier.conferencecountrySouth Korea-
dc.contributor.localauthorKim, Sehun-
dc.contributor.nonIdAuthorKim, Eunhye-

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