An intrusion detection system based on a hybrid tabu-genetic algorithm

dc.contributor.authorBakour, Khaled
dc.contributor.authorDaş, Gülesin Sena
dc.contributor.authorÜnver, H. Murat
dc.date.accessioned2025-01-21T16:26:36Z
dc.date.available2025-01-21T16:26:36Z
dc.date.issued2017
dc.departmentKırıkkale Üniversitesi
dc.description2nd International Conference on Computer Science and Engineering, UBMK 2017 -- 5 October 2017 through 8 October 2017 -- Antalya -- 132116
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. © 2017 IEEE.
dc.identifier.doi10.1109/UBMK.2017.8093378
dc.identifier.endpage220
dc.identifier.isbn978-153860930-9
dc.identifier.scopus2-s2.0-85040539775
dc.identifier.scopusqualityN/A
dc.identifier.startpage215
dc.identifier.urihttps://doi.org/10.1109/UBMK.2017.8093378
dc.identifier.urihttps://hdl.handle.net/20.500.12587/23140
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2nd International Conference on Computer Science and Engineering, UBMK 2017
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectGenetic Algorithm; Intrusion detection system; Tabu search
dc.titleAn intrusion detection system based on a hybrid tabu-genetic algorithm
dc.typeConference Object

Dosyalar