dc.creatorProenca Jr. M.L.
dc.creatorZarpelao B.B.
dc.creatorMendes L.S.
dc.date2005
dc.date2015-06-26T14:10:11Z
dc.date2015-11-26T14:10:16Z
dc.date2015-06-26T14:10:11Z
dc.date2015-11-26T14:10:16Z
dc.date.accessioned2018-03-28T21:10:56Z
dc.date.available2018-03-28T21:10:56Z
dc.identifier0769523889; 9780769523880
dc.identifierProceedings - Advanced Industrial Conference On Telecommunications/service Assurance With Partial And Intermittent Resources Conference/e-learning On Telecommunications Workshop Aict/sapir/elete 2005. , v. 2005, n. , p. 290 - 295, 2005.
dc.identifier
dc.identifier10.1109/AICT.2005.26
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-33750996160&partnerID=40&md5=b6a8f75a64b5d9c02bfd4e041166f64a
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/93991
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/93991
dc.identifier2-s2.0-33750996160
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1241471
dc.descriptionNetwork anomaly detection is essential for rapid fault recovery and increasing network reliability. This paper presents results of the utilization of digital signature of network segments (DSNS) for network servers to characterize the traffic that flow through the network servers. It's also presented an alarm system model that use the network servers' traffic characterization generated by DSNS. The obtained results validate the experiment and show in practice significant advantages in networks management. © 2005 IEEE.
dc.description2005
dc.description
dc.description290
dc.description295
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dc.languageen
dc.publisher
dc.relationProceedings - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005
dc.rightsfechado
dc.sourceScopus
dc.titleAnomaly Detection For Network Servers Using Digital Signature Of Network Segment
dc.typeActas de congresos


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