An Intrusion Detection System Based on a Hybrid Tabu-Genetic Algorithm

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dc.contributor.authorBakour, Khaled
dc.contributor.authorDas, Gulesin Sena
dc.contributor.authorUnver, H. Murat
dc.date.accessioned2020-06-25T18:23:21Z
dc.date.available2020-06-25T18:23:21Z
dc.date.issued2017
dc.departmentKırıkkale Üniversitesi
dc.description2017 International Conference on Computer Science and Engineering (UBMK) -- OCT 05-08, 2017 -- Antalya, TURKEY
dc.description.abstractIn this paper, we proposed a framework for detecting network's intrusions using Genetic Algorithm (GA) with multiple criteria. First of all, we build an intrusion detection system (IDS) using a pure GA with multiple selection methods. Then, we proposed one of the few hybrid algorithms in the literature, which is hybridized using a GA and a Tabu search (TS) algorithm. The proposed hybrid algorithm and the pure GA were tested to detect malicious traffic using DARPA dataset. The test results revealed that the proposed hybrid algorithm gives a higher Detection Rate (DR) and Detection Accuracy (AC) compared to the pure GA.en_US
dc.description.sponsorshipIEEE Adv Technol Human, Istanbul Teknik Univ, Gazi Univ, Atilim Univ, TBV, Akdeniz Univ, Tmmob Bilgisayar Muhendisleri Odasien_US
dc.identifier.citationclosedAccessen_US
dc.identifier.endpage220en_US
dc.identifier.isbn978-1-5386-0930-9
dc.identifier.startpage215en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12587/7077
dc.identifier.wosWOS:000426856900041
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherIeeeen_US
dc.relation.ispartof2017 International Conference On Computer Science And Engineering (Ubmk)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectIntrusion detection systemen_US
dc.subjectGenetic algorithmen_US
dc.subjectTabu searchen_US
dc.titleAn Intrusion Detection System Based on a Hybrid Tabu-Genetic Algorithmen_US
dc.typeConference Object

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