An intrusion detection system based on a hybrid tabu-genetic algorithm
dc.contributor.author | Bakour, Khaled | |
dc.contributor.author | Daş, Gülesin Sena | |
dc.contributor.author | Ünver, H. Murat | |
dc.date.accessioned | 2025-01-21T16:26:36Z | |
dc.date.available | 2025-01-21T16:26:36Z | |
dc.date.issued | 2017 | |
dc.department | Kırıkkale Üniversitesi | |
dc.description | 2nd International Conference on Computer Science and Engineering, UBMK 2017 -- 5 October 2017 through 8 October 2017 -- Antalya -- 132116 | |
dc.description.abstract | In 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.doi | 10.1109/UBMK.2017.8093378 | |
dc.identifier.endpage | 220 | |
dc.identifier.isbn | 978-153860930-9 | |
dc.identifier.scopus | 2-s2.0-85040539775 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | 215 | |
dc.identifier.uri | https://doi.org/10.1109/UBMK.2017.8093378 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12587/23140 | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.relation.ispartof | 2nd International Conference on Computer Science and Engineering, UBMK 2017 | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.snmz | KA_20241229 | |
dc.subject | Genetic Algorithm; Intrusion detection system; Tabu search | |
dc.title | An intrusion detection system based on a hybrid tabu-genetic algorithm | |
dc.type | Conference Object |