Design of Multilevel Hybrid Classifier with Variant Feature Sets for Intrusion Detection System

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dc.contributor.authorAkyol, Aslihan
dc.contributor.authorHacibeyoglu, Mehmet
dc.contributor.authorKarlik, Bekir
dc.date.accessioned2024-02-23T14:32:08Z
dc.date.available2024-02-23T14:32:08Z
dc.date.issued2016
dc.departmentNEÜen_US
dc.description.abstractWith the increase of network components connected to the Internet, the need to ensure secure connectivity is becoming increasingly vital. Intrusion Detection Systems (IDSs) are one of the common security components that identify security violations. This paper proposes a novel multilevel hybrid classifier that uses different feature sets on each classifier. It presents the Discernibility Function based Feature Selection method and two classifiers involving multilayer perceptron (MLP) and decision tree (C4.5). Experiments are conducted on the KDD'99 Cup and ISCX datasets, and the proposal demonstrates better performance than individual classifiers and other proposed hybrid classifiers. The proposed method provides significant improvement in the detection rates of attack classes and Cost Per Example (CPE) which was the primary evaluation method in the KDD'99 Cup competition.en_US
dc.identifier.doi10.1587/transinf.2015EDP7357
dc.identifier.endpage1821en_US
dc.identifier.issn1745-1361
dc.identifier.issue7en_US
dc.identifier.scopus2-s2.0-84976908681en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage1810en_US
dc.identifier.urihttps://doi.org/10.1587/transinf.2015EDP7357
dc.identifier.urihttps://hdl.handle.net/20.500.12452/15511
dc.identifier.volumeE99Den_US
dc.identifier.wosWOS:000381562700008en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeice-Inst Electronics Information Communications Engen_US
dc.relation.ispartofIeice Transactions On Information And Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectIntrusion Detectionen_US
dc.subjectDiscernibility Functionen_US
dc.subjectFeature Selectionen_US
dc.subjectNeural Networksen_US
dc.titleDesign of Multilevel Hybrid Classifier with Variant Feature Sets for Intrusion Detection Systemen_US
dc.typeArticleen_US

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