A new feature selection model based on ID3 and bees algorithm for intrusion detection system

dc.contributor.authorEesa, Adel Sabry
dc.contributor.authorOrman, Zeynep
dc.contributor.authorBrıfcanı, Adnan Mohsin Abdulazeez
dc.date.accessioned2024-07-12T22:03:05Z
dc.date.available2024-07-12T22:03:05Z
dc.date.issued2015en_US
dc.description.abstractAbstract:Intrusion detection systems (IDSs) have become a necessary component of computers and information security framework. IDSs commonly deal with a large amount of data traffic and these data may contain redundant and unimportant features. Choosing the best quality of features that represent all of the data and exclude the redundant features is a crucial topic in IDSs. In this paper, a new combination approach based on the ID3 algorithm and the bees algorithm (BA) is proposed to select the optimal subset of features for an IDS. The BA is used to generate a subset of features, and the ID3 algorithm is used as a classifier. The proposed model is applied on KDD Cup 99 dataset. The obtained results show that the feature subset generated by the proposed ID3-BA gives a higher accuracy and detection rate with a lower false alarm rate when compared to the results obtained by using all features.en_US
dc.identifier.endpage622en_US
dc.identifier.issn1300-0632
dc.identifier.issn1300-0632
dc.identifier.issue2en_US
dc.identifier.startpage615en_US
dc.identifier.trdizinid168822en_US
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/168822
dc.identifier.urihttps://hdl.handle.net/20.500.12415/9387
dc.identifier.volume23en_US
dc.indekslendigikaynakTR-Dizin
dc.language.isoenen_US
dc.relation.ispartofTurkish Journal of Electrical Engineering and Computer Sciencesen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKY04647
dc.titleA new feature selection model based on ID3 and bees algorithm for intrusion detection systemen_US
dc.typeArticle
dspace.entity.typePublication

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