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In-depth comparative evaluation of supervised machine learning approaches for detection of cybersecurity threats

dc.contributor.authorD'hooge, Laurens
dc.contributor.authorWauters, Tim
dc.contributor.authorVolckaert, Bruno
dc.contributor.authorDe Turck, Filip
dc.date.accessioned2021-10-27T08:50:49Z
dc.date.available2021-10-27T08:50:49Z
dc.date.issued2019
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/32895
dc.sourceIIOimport
dc.titleIn-depth comparative evaluation of supervised machine learning approaches for detection of cybersecurity threats
dc.typeProceedings paper
dc.contributor.imecauthorD'hooge, Laurens
dc.contributor.imecauthorWauters, Tim
dc.contributor.imecauthorVolckaert, Bruno
dc.contributor.imecauthorDe Turck, Filip
dc.contributor.orcidimecWauters, Tim::0000-0003-2618-3311
dc.contributor.orcidimecVolckaert, Bruno::0000-0003-0575-5894
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage125
dc.source.endpage136
dc.source.conference4th International Conference on Internet of Things, Big Data and Security
dc.source.conferencedate2/05/2019
dc.source.conferencelocationHeraklion Greece
dc.identifier.urlhttps://doi.org/10.5220/0007724801250136
imec.availabilityPublished - open access
imec.internalnotesISBN 9789897583698


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