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Network intrusion and fault detection: a statistical anomaly approach

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dc.contributor.author Manikopoulos, C en
dc.contributor.author Papavassiliou, S en
dc.date.accessioned 2014-03-01T01:51:41Z
dc.date.available 2014-03-01T01:51:41Z
dc.date.issued 2002 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/26380
dc.subject Anomaly Detection en
dc.subject E Commerce en
dc.subject Early Warning en
dc.subject Electronic Commerce en
dc.subject Fault Detection en
dc.subject Network Services en
dc.subject Statistical Model en
dc.subject Wireless Ad Hoc Network en
dc.title Network intrusion and fault detection: a statistical anomaly approach en
heal.type journalArticle en
heal.identifier.primary 10.1109/MCOM.2002.1039860 en
heal.identifier.secondary http://dx.doi.org/10.1109/MCOM.2002.1039860 en
heal.publicationDate 2002 en
heal.abstract With the advent and explosive growth of the global Internet and electronic commerce environments, adaptive/automatic network/service intrusion and anomaly detection in wide area data networks and e-commerce infrastructures is fast gaining critical research and practical importance. We present and demonstrate the use of a general-purpose hierarchical multitier multiwindow statistical anomaly detection technology and system that operates automatically, adaptively, and proactively, en
heal.journalName IEEE Communications Magazine en
dc.identifier.doi 10.1109/MCOM.2002.1039860 en


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