Adaptive Anomaly Detection in Transaction-Oriented Networks

Ho, L; Cavuto, D; Papavassiliou, S; Zawadzki, A

dc.contributor.author	Ho, L	en
dc.contributor.author	Cavuto, D	en
dc.contributor.author	Papavassiliou, S	en
dc.contributor.author	Zawadzki, A	en
dc.date.accessioned	2014-03-01T01:16:05Z
dc.date.available	2014-03-01T01:16:05Z
dc.date.issued	2001	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13916
dc.subject	Anomaly Detection	en
dc.title	Adaptive Anomaly Detection in Transaction-Oriented Networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1023/A:1011311024699	en
heal.identifier.secondary	http://dx.doi.org/10.1023/A:1011311024699	en
heal.publicationDate	2001	en
heal.abstract	Adaptive algorithms for real-time and proactive detection of network/service anomalies, i.e., soft performance degradations, in transaction-oriented wide area networks (WANs) have been developed. These algorithms (i) adaptively sample and aggregate raw transaction records to compute service-class based traffic intensities, in which potential network anomalies are highlighted; (ii) construct dynamic and service-class based performance thresholds for detecting network and service anomalies;	en
heal.journalName	Journal of Network and Systems Management	en
dc.identifier.doi	10.1023/A:1011311024699	en