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Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/2048
DC FieldValueLanguage
dc.contributor.authorTimčenko, Valentina V.en_US
dc.contributor.authorIbrahim, Jumaen_US
dc.contributor.authorGajin, Slavkoen_US
dc.date.accessioned2025-05-16T13:51:38Z-
dc.date.available2025-05-16T13:51:38Z-
dc.date.issued2019-
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/2048-
dc.language.isoenen_US
dc.publisherBeograd : Informaciono društvo Srbijeen_US
dc.titleThe Hybrid Machine Learning Support for Entropy Based Network Traffic Anomaly Detectionen_US
dc.typeConference Objecten_US
dc.relation.conferenceInternational Conference on Information Society and Technology ICIST(9 ; 2019 ; Kopaonik)en_US
dc.relation.publicationProceedings of the 9th International Conference on Information Society and Technologyen_US
dc.identifier.url978-86-85525-24-7-
dc.relation.isbn978-86-85525-24-7en_US
dc.description.rankM33en_US
dc.relation.firstpage144en_US
dc.relation.lastpage149en_US
item.openairetypeConference Object-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.languageiso639-1en-
item.cerifentitytypePublications-
crisitem.author.orcid0000-0002-8939-3589-
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