Inter-dataset generalization strength of supervised machine learning methods for intrusion detection

dc.contributor.author	D'hooge, Laurens
dc.contributor.author	Wauters, Tim
dc.contributor.author	Volckaert, Bruno
dc.contributor.author	De Turck, Filip
dc.contributor.imecauthor	D'hooge, Laurens
dc.contributor.imecauthor	Wauters, Tim
dc.contributor.imecauthor	Volckaert, Bruno
dc.contributor.imecauthor	De Turck, Filip
dc.contributor.orcidimec	Wauters, Tim::0000-0003-2618-3311
dc.contributor.orcidimec	Volckaert, Bruno::0000-0003-0575-5894
dc.date.accessioned	2021-10-28T21:20:45Z
dc.date.available	2021-10-28T21:20:45Z
dc.date.embargo	9999-12-31
dc.date.issued	2020-10
dc.identifier.issn	2214-2126
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/35054
dc.identifier.url	https://doi.org/10.1016/j.jisa.2020.102564
dc.source.beginpage	102564
dc.source.journal	Journal of Information Security and Applications
dc.source.volume	54
dc.title	Inter-dataset generalization strength of supervised machine learning methods for intrusion detection
dc.type	Journal article
dspace.entity.type	Publication
Files	Original bundle Name: 46015.pdf Size: 2.83 MB Format: Adobe Portable Document Format Download
Publication available in collections:	Articles