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Using Ensemble Learning for Anomaly Detection in Cyber–Physical Systems

dc.contributor.authorJeffrey, N.
dc.contributor.authorTan, Q.
dc.contributor.authorVillar Flecha, José Ramón 
dc.date.accessioned2024-11-07T07:25:31Z
dc.date.available2024-11-07T07:25:31Z
dc.date.issued2024
dc.identifier.citationElectronics (Switzerland), 13(7), (2024); doi:10.3390/electronics13071391
dc.identifier.issn2079-9292
dc.identifier.urihttps://hdl.handle.net/10651/75552
dc.description.sponsorshipThis research has been funded by the Spanish Ministry of Economics and Industry, grant PID2020-112726RB-I00; the Spanish Research Agency, grant PID2023-146257OB-I00; the Missions Science and Innovation project MIG-20211008 (INMERBOT); by the Principado de Asturias, grant SV- PA-21-AYUD/2021/50994; and by the Council of Gijón through the University Institute of Industrial Technology of Asturias, grants SV-21-GIJON-1-19, SV-22-GIJON-1-19, SV-22-GIJON-1-22, and SV-23- GIJON-1-09. Finally, this research has also been funded by Fundación Universidad de Oviedo via grants FUO-23-008 and FUO-22-450.
dc.language.isoeng
dc.relation.ispartofElectronics (Switzerland)
dc.rights© 2024 by the authors.
dc.rightsCC Reconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85190102387&doi=10.3390%2felectronics13071391&partnerID=40&md5=db853b40f3d36cf0e431dd35da7edc68
dc.titleUsing Ensemble Learning for Anomaly Detection in Cyber–Physical Systems
dc.typejournal article
dc.identifier.doi10.3390/electronics13071391
dc.relation.publisherversionhttp://dx.doi.org/10.3390/electronics13071391
dc.rights.accessRightsopen access


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