Publication:

Castles Built on Sand: Observations from Classifying Academic Cybersecurity Datasets with Minimalist Methods

Date

2023
Proceedings Paper
https://doi.org/10.5220/0011853300003482
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dc.contributor.authorD'hooge, Laurens
dc.contributor.authorVerkerken, Miel
dc.contributor.authorWauters, Tim
dc.contributor.authorDe Turck, Filip
dc.contributor.authorVolckaert, Bruno
dc.contributor.imecauthorD'hooge, Laurens
dc.contributor.imecauthorVerkerken, Miel
dc.contributor.imecauthorWauters, Tim
dc.contributor.imecauthorDe Turck, Filip
dc.contributor.imecauthorVolckaert, Bruno
dc.contributor.orcidimecD'hooge, Laurens::0000-0001-5086-6361
dc.contributor.orcidimecVerkerken, Miel::0000-0002-1781-900X
dc.contributor.orcidimecWauters, Tim::0000-0003-2618-3311
dc.contributor.orcidimecDe Turck, Filip::0000-0003-4824-1199
dc.contributor.orcidimecVolckaert, Bruno::0000-0003-0575-5894
dc.date.accessioned2023-11-17T10:42:06Z
dc.date.available2023-10-28T17:32:05Z
dc.date.available2023-11-17T10:42:06Z
dc.date.embargo2023-04-23
dc.date.issued2023
dc.description.wosFundingTextThis work has partially been supported by the AIDE project which is a three-way partnership between government, academia and industry. It aims to achieve robust, resilient and adaptive protection of computer systems with a particular role for federated learning. The AIDE project is funded by the Belgian Chancellery of the Prime Minister, a federal public service, as part of their financing for the development of artificial intelligence.
dc.identifier.doi10.5220/0011853300003482
dc.identifier.eisbn978-989-758-643-9
dc.identifier.issn2184-4976
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/42992
dc.publisherSCITEPRESS
dc.source.beginpage61
dc.source.conference8th International Conference on Internet of Things, Big Data and Security (IoTBDS)
dc.source.conferencedateAPR 21-23, 2023
dc.source.conferencelocationPrague
dc.source.endpage72
dc.source.journalna
dc.source.numberofpages12
dc.title

Castles Built on Sand: Observations from Classifying Academic Cybersecurity Datasets with Minimalist Methods

dc.typeProceedings paper
dspace.entity.typePublication
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