Network anomaly detection using nonextensive entropy

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dc.contributor.authorZIVIANI, A.
dc.contributor.authorGOMES, A. T. A.
dc.contributor.authorMONSORES, M. L.
dc.contributor.authorRODRIGUES, Paulo
dc.date.accessioned2019-08-17T20:00:28Z
dc.date.available2019-08-17T20:00:28Z
dc.date.issued2007
dc.description.abstractalternativeDetection is a crucial step towards efficiently diagnosing network traffic anomalies within an autonomous system (AS). We propose the adoption of nonextensive entropy - a one-parameter generalization of Shannon entropy - to detect anomalies in network traffic within an AS. Experimental results show that our approach based on nonextensive entropy outperforms previous ones based on classical entropy while providing enhanced flexibility, which is enabled by the possibility of fine-tuning the sensitivity of the detection mechanism.en
dc.description.firstpage1034
dc.description.issuenumber12
dc.description.lastpage1036
dc.description.volume11
dc.identifier.citationZIVIANI, A.; GOMES, A. T. A.; MONSORES, M. L.; RODRIGUES, Paulo Network anomaly detection using nonextensive entropy. IEEE Communications Letters, v. 11, n. 12, p. 1034-1036, 2007.
dc.identifier.doi10.1109/lcomm.2007.070761
dc.identifier.issn1089-7798
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/983
dc.identifier.urlhttps://ieeexplore.ieee.org/document/4400777
dc.relation.ispartofIEEE Communications Letters
dc.rightsAcesso Aberto
dc.subject.otherlanguageNetwork anomaly detectionen
dc.titleNetwork anomaly detection using nonextensive entropypt_BR
dc.typeArtigopt_BR
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