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Harnessing feature pruning with optimal deep learning based DDoS cyberattack detection on IoT environment.

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第一作者： Eunmok,Yang

第一单位： Department of Financial Information Security, Kookmin University, Seoul, 02707, South Korea.

作者： Eunmok,Yang ^[1] ; Sooyong,Jeong ^[2] ; Changho,Seo ^[3]

作者单位： Department of Financial Information Security, Kookmin University, Seoul, 02707, South Korea. ^[1] Department of Convergence Science, Kongju National University, Gongju, 32588, South Korea. jsy8630@kongju.ac.kr.;Basic Science Research Institution, Kongju National University, Gongju, 32588, South Korea. jsy8630@kongju.ac.kr. ^[2] Department of Convergence Science, Kongju National University, Gongju, 32588, South Korea.;Basic Science Research Institution, Kongju National University, Gongju, 32588, South Korea. ^[3]

关键词 Cyberattack detection Fish migration optimizer Min–max scalar Pelican optimization algorithm Sparse denoising autoencoder

DOI 10.1038/s41598-025-02152-2

PMID 40394115

发布时间 2025-05-23

基金项目

2021-0-00511/Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) 2021-0-00511/Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) 2021-0-00511/Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT)

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