Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/107117
DC FieldValueLanguage
dc.contributor.advisorShirazi, H.-
dc.contributor.advisorNowroozi, A.-
dc.contributor.authorFarzadnia, Ehsan-
dc.date.accessioned2023-06-08T03:45:00Z-
dc.date.available2023-06-08T03:45:00Z-
dc.date.issued2018-12-31-
dc.identifier.urihttps://hdl.handle.net/10316/107117-
dc.descriptionDocumentos apresentados no âmbito do reconhecimento de graus e diplomas estrangeirospor
dc.description.abstractAnomaly Detection is one of the significant and complex problems in computer networks security. Artifical Immune Systems are among the novel methods which have been mostly used by researchers in recent years. This System is a good prototype to develop Machine Learning techniques, and it can be a proper candidate for designing the next generation of intrusion detection systems owing to its many potentials.pt
dc.language.isootherpt
dc.rightsopenAccesspt
dc.subjectNetwork anomaly detectionpt
dc.subjectArtificial immune systempt
dc.subjectArtificial lifept
dc.subjectMature detectorpt
dc.subjectDendritic cellpt
dc.titleProvide a Novel Sophisticated Hybrid method for Intrusion Detection Using the Artificial Immune System (AIS)pt
dc.typemasterThesispt
degois.publication.locationMalek Ashtar University of Technologypt
dc.date.embargo2018-12-31*
uc.rechabilitacaoestrangeirayespt
uc.date.periodoEmbargo0pt
item.fulltextCom Texto completo-
item.languageiso639-1other-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypemasterThesis-
item.grantfulltextopen-
item.cerifentitytypePublications-
Appears in Collections:UC - Reconhecimento de graus e diplomas estrangeiros
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