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A hybrid approach for efficient anomaly detection using metaheuristic methods.

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第一作者： Tamer F,Ghanem

第一单位： Department of Information Technology, Faculty of Computers and Information, Menofiya University, Shebin El Kom, Menofiya, Egypt.

作者： Tamer F,Ghanem ^[1] ; Wail S,Elkilani ^[2] ; Hatem M,Abdul-Kader ^[3]

作者单位： Department of Information Technology, Faculty of Computers and Information, Menofiya University, Shebin El Kom, Menofiya, Egypt. ^[1] Department of Computer Systems, Faculty of Computers and Information, Ain Shams University, Cairo, Egypt. ^[2] Department of Information Systems, Faculty of Computers and Information, Menofiya University, Shebin El Kom, Menofiya, Egypt. ^[3]

关键词 Anomaly detection Genetic algorithms Intrusion detection Multi-start methods Negative selection algorithm

DOI 10.1016/j.jare.2014.02.009

PMID 26199752

发布时间 2020-09-30

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Journal of advanced research

2015年6卷4期

609-19页

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Journal of advanced research

2015年6卷4期

609-19页

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A hybrid approach for efficient anomaly detection using metaheuristic methods.

Journal of advanced research

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A hybrid approach for efficient anomaly detection using metaheuristic methods.

Journal of advanced research

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Journal of advanced research

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