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College of Engineering(공과대학)School of Electrical Engineering(전기및전자공학부)EE-Conference Papers(학술회의논문)

A Machine Learning Framework for Network Anomaly Detection using SVM and GA

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dc.contributor.authorShon, T-
dc.contributor.authorKim, Yongdae-
dc.contributor.authorLee, C-
dc.contributor.authorMoon, J-
dc.date.accessioned2013-03-18T23:18:44Z-
dc.date.available2013-03-18T23:18:44Z-
dc.date.issued2005-06-
dc.identifier.citation6th IEEE Information Assurance Workshop, 2005, v., no., pp. --
dc.identifier.urihttp://hdl.handle.net/10203/153528-
dc.languageENG-
dc.publisherIEEE-
dc.titleA Machine Learning Framework for Network Anomaly Detection using SVM and GA-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationname6th IEEE Information Assurance Workshop, 2005-
dc.identifier.conferencecountryUnited States-
dc.contributor.localauthorKim, Yongdae-
dc.contributor.nonIdAuthorShon, T-
dc.contributor.nonIdAuthorLee, C-
dc.contributor.nonIdAuthorMoon, J-
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EE-Conference Papers(학술회의논문)
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