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Chained anomaly detection models for federated learning: An intrusion detection case study

dc.contributor.authorPreuveneers, Davy
dc.contributor.authorRimmer, Vera
dc.contributor.authorTsingenopoulos, ilias
dc.contributor.authorSpooren, Jan
dc.contributor.authorJoosen, Wouter
dc.contributor.authorIlie-Zudor, Elisabeth
dc.date.accessioned2021-10-27T16:23:08Z
dc.date.available2021-10-27T16:23:08Z
dc.date.issued2019
dc.identifier.issn2076-3417
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/33827
dc.sourceIIOimport
dc.titleChained anomaly detection models for federated learning: An intrusion detection case study
dc.typeJournal article
dc.contributor.imecauthorJoosen, Wouter
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage1
dc.source.endpage21
dc.source.journalApplied Sciences
dc.source.issue12
dc.source.volume8
dc.identifier.urlhttps://doi.org/10.3390/app8122663
imec.availabilityPublished - open access


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