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dc.contributor.authorLiu, Lisa
dc.contributor.authorEngelen, Gints
dc.contributor.authorLynar, Timothy
dc.contributor.authorEssam, Daryl
dc.contributor.authorJoosen, Wouter
dc.date.accessioned2023-05-30T08:49:23Z
dc.date.available2023-02-27T03:28:49Z
dc.date.available2023-05-30T08:49:23Z
dc.date.issued2022
dc.identifier.issn2474-025X
dc.identifier.otherWOS:000920419800036
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41191.2
dc.sourceWOS
dc.titleError Prevalence in NIDS datasets: A Case Study on CIC-IDS-2017 and CSE-CIC-IDS-2018
dc.typeProceedings paper
dc.contributor.imecauthorJoosen, Wouter
dc.identifier.doi10.1109/CNS56114.2022.9947235
dc.identifier.eisbn978-1-6654-6255-6
dc.source.numberofpages10
dc.source.peerreviewyes
dc.source.beginpage254
dc.source.endpage263
dc.source.conferenceIEEE Conference on Communications and Network Security (CNS)
dc.source.conferencedateOCT 03-05, 2022
dc.source.conferencelocationAustin
dc.source.journalna
imec.availabilityPublished - imec
dc.description.wosFundingTextLisa Liu wishes to acknowledge the Commonwealth's contribution, for the provision of support provided through an Australian Government Research Training Program (RTP) Scholarship. Gints Engelen wishes to thank the Research Fund KU Leuven and by the Flemish Research Programme Cybersecurity for helping to fund this research.


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