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Hybrid feature selection for IoMT based intrusion detection system for integrating mutual information filtering with deep learning based accelerated metaheuristic optimization.

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第一作者： Saranya,Palaniappan

第一单位： Department of Computer Science and Engineering, AVS Engineering College, Salem, Tamil Nadu, 636003, India. saranya@psncet.ac.in.;Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, 627451, India. saranya@psncet.ac.in.

作者： Saranya,Palaniappan ^[1] ; Sudhakar,Sengan ^[2]

作者单位： Department of Computer Science and Engineering, AVS Engineering College, Salem, Tamil Nadu, 636003, India. saranya@psncet.ac.in.;Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, 627451, India. saranya@psncet.ac.in. ^[1] Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, 627451, India. sudhakarsengan@psncet.ac.in. ^[2]

关键词 Binary dragonfly algorithm Deep learning Edge computing Feature selection Healthcare cybersecurity Internet of Medical Things Intrusion detection system Metaheuristic optimization Mutual information Network security

DOI 10.1038/s41598-026-47264-5

PMID 41963437

发布时间 2026-05-27

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