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A prospective approach to detect advanced persistent threats: Utilizing hybrid optimization technique.

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第一作者： Indra,Kumari

第一单位： Department of Machine Learning Data Research, Korea Institute of Science and Technology Information (KISTI), Daejeon, 34141, Republic of Korea.;Department of Applied AI, University of Science and Technology (UST), Daejeon, 34113, Republic of Korea.

作者： Indra,Kumari ^[1] ; Minho,Lee ^[1]

作者单位： Department of Machine Learning Data Research, Korea Institute of Science and Technology Information (KISTI), Daejeon, 34141, Republic of Korea.;Department of Applied AI, University of Science and Technology (UST), Daejeon, 34113, Republic of Korea. ^[1]

关键词 Advanced persistent threats Bi-LSTM classifiers Harris Hawk optimization Light GBM Sparrow search algorithm

DOI 10.1016/j.heliyon.2023.e21377

PMID 38027863

发布时间 2024-04-26

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2023年9卷11期

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