Detecting Network Attacks in the Internet via Statistical Network Traffic Normality Prediction

Jiang, J; Papavassiliou, S

dc.contributor.author	Jiang, J	en
dc.contributor.author	Papavassiliou, S	en
dc.date.accessioned	2014-03-01T01:53:18Z
dc.date.available	2014-03-01T01:53:18Z
dc.date.issued	2004	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/26950
dc.subject	Information Technology	en
dc.subject	Intrusion Detection	en
dc.subject	Network Traffic	en
dc.subject	Statistical Properties	en
dc.subject	Traffic Prediction	en
dc.subject	Dynamic Threshold	en
dc.title	Detecting Network Attacks in the Internet via Statistical Network Traffic Normality Prediction	en
heal.type	journalArticle	en
heal.identifier.primary	10.1023/B:JONS.0000015698.32353.61	en
heal.identifier.secondary	http://dx.doi.org/10.1023/B:JONS.0000015698.32353.61	en
heal.publicationDate	2004	en
heal.abstract	The information technology advances that provide new capabilities to the network users and providers, also provide powerful new tools for network intruders that intend to launch attacks on critical information resources. In this paper we present a novel network attack diagnostic methodology, based on the characterization of the dynamic statistical properties of normal network traffic. The ability to detect network	en
heal.journalName	Journal of Network and Systems Management	en
dc.identifier.doi	10.1023/B:JONS.0000015698.32353.61	en