dc.creatorZarpelao, BB
dc.creatorMendes, LD
dc.creatorProenca, ML
dc.date2007
dc.dateJUN
dc.date2014-11-15T19:34:50Z
dc.date2015-11-26T16:13:40Z
dc.date2014-11-15T19:34:50Z
dc.date2015-11-26T16:13:40Z
dc.date.accessioned2018-03-28T23:01:11Z
dc.date.available2018-03-28T23:01:11Z
dc.identifierJournal Of Network And Systems Management. Springer, v. 15, n. 2, n. 267, n. 283, 2007.
dc.identifier1064-7570
dc.identifierWOS:000247277700007
dc.identifier10.1007/s10922-007-9064-y
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/77617
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/77617
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/77617
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1267393
dc.descriptionDetecting anomalies accurately is fundamental to rapid diagnosis and repair of problems. This paper proposes a novel Anomaly detection system based on the comparison of real traffic and DSNS (Digital Signature of Network Segment), generated by BLGBA (Baseline for Automatic Backbone Management) model, within a hysteresis interval using the residual mean and on the correlation of the detected deviations. Extensive experimental results on real network servers confirmed that our system is able to detect anomalies on the monitored devices, avoiding the high false alarms rate.
dc.description15
dc.description2
dc.description267
dc.description283
dc.languageen
dc.publisherSpringer
dc.publisherNew York
dc.publisherEUA
dc.relationJournal Of Network And Systems Management
dc.relationJ. Netw. Syst. Manag.
dc.rightsfechado
dc.rightshttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dc.sourceWeb of Science
dc.subjectalarm correlation
dc.subjectSNMP (Simple Network Management Protocol)
dc.subjectMIB-II (Management Information Base)
dc.subjectBLGBA (Baseline for Automatic Backbone Management)
dc.titleAnomaly detection aiming pro-active management of computer network based on digital signature of network segment
dc.typeArtículos de revistas


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