A new distributed denial-of-service detection system in cloud environment by using deep belief networks

dc.contributor.authorİbrahim, İbrahim
dc.contributor.authorKurnaz, Sefer
dc.contributor.departmentOthertr_TR
dc.contributor.facultyOthertr_TR
dc.date.accessioned2021-12-01T12:20:15Z
dc.date.available2021-12-01T12:20:15Z
dc.date.issued2021-06-30
dc.description.abstractThis study presents new method to detect DDOS attacks by using Deep Belief Networks (DBN). The input data which represented the DDoS features in cloud environment are first analyzed by using DBN to extracted high level and sensitive features. The output of the DBN wired to the classifier (SoftMax and SVM). The aim of using the DBN is to extracted features that have ability to present the best classification results and to speed up the processing time by reducing the dimension of features. In the last stage, the Classifier trained in supervised method to classify the features into two labels there is attack or not. The obtained results compared with well-known studies presented in this field.tr_TR
dc.description.indexTrdizintr_TR
dc.identifier.endpage24tr_TR
dc.identifier.issn/e-issn2618-6462
dc.identifier.issn/e-issn2618-6462
dc.identifier.issue1tr_TR
dc.identifier.startpage17tr_TR
dc.identifier.urihttp://hdl.handle.net/20.500.12575/76570
dc.identifier.volume63tr_TR
dc.language.isoentr_TR
dc.publisherAnkara Üniversitesi Fen Fakültesitr_TR
dc.relation.journalCommunications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineeringtr_TR
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Başka Kurum Yazarıtr_TR
dc.subjectCloud computingtr_TR
dc.subjectDDOStr_TR
dc.subjectDBNtr_TR
dc.titleA new distributed denial-of-service detection system in cloud environment by using deep belief networkstr_TR
dc.typeArticletr_TR

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