Publication:

Towards Model Generalization for Intrusion Detection: Unsupervised Machine Learning Techniques

 
dc.contributor.authorVerkerken, Miel
dc.contributor.authorD'hooge, Laurens
dc.contributor.authorWauters, Tim
dc.contributor.authorVolckaert, Bruno
dc.contributor.authorDe Turck, Filip
dc.contributor.imecauthorVerkerken, Miel
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.contributor.orcidimecD'hooge, Laurens::0000-0001-5086-6361
dc.date.accessioned2022-04-01T14:13:40Z
dc.date.available2021-11-02T15:55:23Z
dc.date.available2022-04-01T14:13:40Z
dc.date.issued2022
dc.identifier.doi10.1007/s10922-021-09615-7
dc.identifier.issn1064-7570
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/37454
dc.publisherSPRINGER
dc.source.beginpageArt. 12
dc.source.issue1
dc.source.journalJOURNAL OF NETWORK AND SYSTEMS MANAGEMENT
dc.source.numberofpages25
dc.source.volume30
dc.subject.keywordsENCRYPTED TRAFFIC CLASSIFICATION
dc.title

Towards Model Generalization for Intrusion Detection: Unsupervised Machine Learning Techniques

dc.typeJournal article
dspace.entity.typePublication
Files

Original bundle

Name:
Towards_Model_Generalization_for_Intrusion_Detection__Unsupervised_Machine_Learning_Techniques
Size:
595.38 KB
Format:
Adobe Portable Document Format
Description:
Accepted version
Publication available in collections: