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A secure edge computing model using machine learning and IDS to detect and isolate intruders.

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第一作者： Poornima,Mahadevappa

第一单位： School of Computer Science and Engineering, Taylor's University, Malaysia.

作者： Poornima,Mahadevappa ^[1] ; Raja Kumar,Murugesan ^[1] ; Redhwan,Al-Amri ^[2] ; Reema,Thabit ^[3] ; Abdullah Hussein,Al-Ghushami ^[4] ; Gamal,Alkawsi ^[5]

作者单位： School of Computer Science and Engineering, Taylor's University, Malaysia. ^[1] Centre for Professional Learning & Leadership, Institute of Education and Humanities, University of Wales Trinity Saint David, Swansea, UK. ^[2] Department of Computing, College of Computing and Informatics (CCI), Universiti Tenaga Nasional (UNITEN), Kajang, Selangor 43000, Malaysia. ^[3] Department of Information Technology, Community College of Qatar, Doha, Qatar. ^[4] Institute of Sustainable Energy, Universiti Tenaga Nasional, Kajang 43000, Malaysia. ^[5]

关键词 Edge computing Edge security Hybrid LDA-LR Intrusion detection Intrusion isolation LDA-LR Machine learning

DOI 10.1016/j.mex.2024.102597

PMID 38379716

发布时间 2024-02-22

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