Clustered federated learning architecture for network anomaly detection in large scale heterogeneous IoT networks

Sáez de Cámara Garcia, Xabier; Flores, José Luis; Arellano, Cristóbal; Urbieta, Aitor; Zurutuza Ortega, Urko

dc.rights.license	Attribution 4.0 International
dc.contributor.author	Sáez de Cámara Garcia, Xabier
dc.contributor.author	Flores, José Luis
dc.contributor.author	Arellano, Cristóbal
dc.contributor.author	Urbieta, Aitor
dc.contributor.author	Zurutuza Ortega, Urko
dc.date.accessioned	2026-04-09T10:38:37Z
dc.date.available	2026-04-09T10:38:37Z
dc.date.issued	2023
dc.identifier.issn	0167-4048 (papel)
dc.identifier.issn	1872-6208 (online)
dc.identifier.other	https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=173003
dc.identifier.uri	http://hdl.handle.net/20.500.11984/15020
dc.format.extent	p.
dc.language.iso	eng
dc.publisher	Elsevier
dc.rights	© 2023
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.title	Clustered federated learning architecture for network anomaly detection in large scale heterogeneous IoT networks
dcterms.accessRights	http://purl.org/coar/access_right/c_abf2
dcterms.source	Computers and Security
local.contributor.group	Análisis de datos y ciberseguridad
local.description.peerreviewed	true
local.identifier.doi	https://doi.org/10.1016/j.cose.2023.103299
local.rights.publicationfee	APC
local.rights.publicationfeeamount	2790 EUR
local.contributor.otherinstitution	https://ror.org/03hp1m080
local.contributor.otherinstitution	https://ror.org/00wvqgd19
local.source.details	Vol. 131. N. art. 103299, 2023
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oaire.resourceType	http://purl.org/coar/resource_type/c_6501
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