An Intrusion Detection System Based on a Hybrid Tabu-Genetic Algorithm
Yükleniyor...
Tarih
2017
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
2017 International Conference on Computer Science and Engineering (UBMK) -- OCT 05-08, 2017 -- Antalya, TURKEY
Anahtar Kelimeler
Intrusion detection system, Genetic algorithm, Tabu search
Kaynak
2017 International Conference On Computer Science And Engineering (Ubmk)
WoS Q DeÄŸeri
N/A
Scopus Q DeÄŸeri
Cilt
Sayı
Künye
closedAccess
