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LwHM: lightweight hybrid classifier for SDN-attack detection using recursive feature elimination.

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第一作者： Khadija,Kanwal

第一单位： Institute of Computer Science and Information Technology, The Women University Multan, Multan, Pakistan.

作者： Khadija,Kanwal ^[1] ; Muhammad,Mujahid ^[2] ; Julio Cesar Martinez,Espinosa ^[3] ; Carlos Eduardo Uc,Rios ^[4] ; Nagwan Abdel,Samee ^[5] ; Imran,Ashraf ^[6]

作者单位： Institute of Computer Science and Information Technology, The Women University Multan, Multan, Pakistan. ^[1] Artificial Intelligence and Data Analytics (AIDA) Lab, CCIS, Prince Sultan University, Riyadh, Saudi Arabia. ^[2] Universidad Europea del Atlantico., Isabel Torres 21, 39011, Santander, Spain.;Universidad Internacional Iberoamericana, 24560, Campeche, Mexico.;Universidade Internacional do Cuanza, Cuito, Bie, Angola.;Fundacion Universitaria Internacional de Colombia, Bogota, Colombia. ^[3] Universidad Europea del Atlantico., Isabel Torres 21, 39011, Santander, Spain.;Universidad Internacional Iberoamericana, 24560, Campeche, Mexico.;Universidad Internacional Iberoamericana Arecibo, Puerto Rico, 00613, USA.;Universidad de La Romana, La Romana, Dominican Republic. ^[4] Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia. ^[5] School of Computer Science and Engineering, Yeungnam University, Gyeongsan, 38541, Republic of Korea. imranashraf@yu.ac.kr. ^[6]

关键词 Feature selection Hybrid model Machine learning Network intrusion detection Network security Software defined networks

DOI 10.1038/s41598-026-59142-1

PMID 42342920

发布时间 2026-06-24

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