RFM 분석 방법론을 통한 지능적인 서버기반 침입탐지 시스템Host based Intelligent IDS with RFM analysis methodology

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dc.contributor.advisor박상찬-
dc.contributor.advisorPark, Sang-Chan-
dc.contributor.author김휘강-
dc.contributor.authorKim, Huy-Kang-
dc.date.accessioned2011-12-14T04:20:38Z-
dc.date.available2011-12-14T04:20:38Z-
dc.date.issued2000-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=158436&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/41570-
dc.description학위논문(석사) - 한국과학기술원 : 산업공학과, 2000.2, [ v, 53 p. ]-
dc.languagekor-
dc.publisher한국과학기술원-
dc.subject통계적공정관리-
dc.subject공정도-
dc.subject이상진단-
dc.subject침입탐지시스템-
dc.subjectRFM 분석-
dc.subjectRFM analysis-
dc.subjectStatistical process control-
dc.subjectControl chart-
dc.subjectAnomaly detection-
dc.subjectIntrusion detection system-
dc.titleRFM 분석 방법론을 통한 지능적인 서버기반 침입탐지 시스템-
dc.title.alternativeHost based Intelligent IDS with RFM analysis methodology-
dc.typeThesis(Master)-
dc.identifier.CNRN158436/325007-
dc.description.department한국과학기술원 : 산업공학과, -
dc.identifier.uid000983177-
dc.contributor.localauthor박상찬-
dc.contributor.localauthorPark, Sang-Chan-
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IE-Theses_Master(석사논문)
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