Statistical Model Applied to NetFlow for Network Intrusion Detection

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dc.contributor.authorProto, Andre [UNESP]
dc.contributor.authorAlexandre, Leandro A.
dc.contributor.authorBatista, Maira L.
dc.contributor.authorOliveira, Isabela L.
dc.contributor.authorCansian, Adriano M.
dc.contributor.authorGavrilova, M. L.
dc.contributor.authorTan, CJK
dc.contributor.authorMoreno, E. D.
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionACME Comp Secur Res Lab
dc.date.accessioned2023-07-29T12:01:24Z
dc.date.available2023-07-29T12:01:24Z
dc.date.issued2010-01-01
dc.description.abstractThe computers and network services became presence guaranteed in several places. These characteristics resulted in the growth of illicit events and therefore the computers and networks security has become an essential point in any computing environment. Many methodologies were created to identify these events; however, with increasing of users and services on the Internet, many difficulties are found in trying to monitor a large network environment. This paper proposes a methodology for events detection in large-scale networks. The proposal approaches the anomaly detection using the NetFlow protocol, statistical methods and monitoring the environment in a best time for the application.en
dc.description.affiliationUNESP Univ Estadual Paulista Julio de Mesquita Fi, Sj Do Rio Preto, S Paulo, Brazil
dc.description.affiliationACME Comp Secur Res Lab, Dept Ciencias Comp & Estat, Sao Jose Do Rio Preto, SP, Brazil
dc.description.affiliationUnespUNESP Univ Estadual Paulista Julio de Mesquita Fi, Sj Do Rio Preto, S Paulo, Brazil
dc.format.extent179-191
dc.identifier.citationTransactions on Computational Science Xi: Special Issue on Security in Computing, Part Ii. Berlin: Springer-verlag Berlin, v. 6480, p. 179-191, 2010.
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11449/245663
dc.identifier.wosWOS:000286950600009
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofTransactions On Computational Science Xi: Special Issue On Security In Computing, Part Ii
dc.sourceWeb of Science
dc.subjectSecurity
dc.subjectnetwork
dc.subjectstatistical
dc.subjectNetFlow
dc.subjectintrusion detection
dc.subjectanomaly
dc.titleStatistical Model Applied to NetFlow for Network Intrusion Detectionen
dc.typeArtigo
dcterms.licensehttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dcterms.rightsHolderSpringer

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Artigos - Ciência da Computação e Estatística - IBILCE