Network intrusion and fault detection: a statistical anomaly approach

Manikopoulos, C; Papavassiliou, S

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