A Novel Intrusion Detection System Based on Support Vector Machine and Improved Artificial Bee Colony Optimization

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Feizi tayyebe; Moattar Mohammad Hossein

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Journal: TABRIZ JOURNAL OF ELECTRICAL ENGINEERING Year:2019 | Volume:49 | Issue:2 (88) Page(s): 767-782

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Title

A Novel Intrusion Detection System Based on Support Vector Machine and Improved Artificial Bee Colony Optimization

Author(s)

Feizi tayyebe | Moattar Mohammad Hossein | Issue Writer Certificate

Keywords

Intrusion Detection SystemQ1

Artificial Bee Colony AlgorithmQ2

Support Vector MachineQ2

Evolutionary OptimizationQ1

Levy FlightQ1

Abstract

Intrusion in the network is increasing. Intrusion Detection System can greatly prevent network attacks. Feature selection is a critical issue in Intrusion Detection Systems which have a considerable impact on the accuracy and effectiveness of the system. In this study, a new hybrid network Intrusion Detection System with improved Artificial Bee Colony Algorithm using Support Vector Machine classifier is proposed for feature selection. The main idea is utilizing a combination of search equations of particle swarm optimization and Differential Evolution for updating bee’ s position of employed and onlooker bees and utilizing Levy Flight on scout bees phase, to improve exploitation and increase the convergence rate of the standard Artificial Bee Colony Algorithm. The robustness and stability of the proposed approach is evaluated on NSL-KDD dataset and showed significant improvement on the overall performance of Intrusion Detection System with an accuracy of 98. 97 percent.

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APA: Copy

Feizi, tayyebe, & Moattar, Mohammad Hossein. (2019). A Novel Intrusion Detection System Based on Support Vector Machine and Improved Artificial Bee Colony Optimization. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 49(2 (88) ), 767-782. SID. https://sid.ir/paper/256482/en

Vancouver: Copy

Feizi tayyebe, Moattar Mohammad Hossein. A Novel Intrusion Detection System Based on Support Vector Machine and Improved Artificial Bee Colony Optimization. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2019;49(2 (88) ):767-782. Available from: https://sid.ir/paper/256482/en

IEEE: Copy

tayyebe Feizi, and Mohammad Hossein Moattar, “A Novel Intrusion Detection System Based on Support Vector Machine and Improved Artificial Bee Colony Optimization,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 49, no. 2 (88) , pp. 767–782, 2019, [Online]. Available: https://sid.ir/paper/256482/en

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