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dc.date.accessioned2022-02-24T18:08:08Z
dc.date.available2022-02-24T18:08:08Z
dc.date.created2022-01-25T15:06:22Z
dc.date.issued2021
dc.identifier.citationAsprusten, Markus Leira Gjerstad, Julie Lidahl Grov, Gudmund Kjellstadli, Espen Hammer Flood, Robert Clausen, Henry Aspinall, David . A containerised approach to labelled C&C traffic. Norsk Informasjonssikkerhetskonferanse (NISK). 2021
dc.identifier.urihttp://hdl.handle.net/10852/91492
dc.description.abstractA challenge for data-driven methods for intrusion detection is the availability of high quality and realistic data, with ground truth at suitable level of granularity to train machine learning models. Here, we explore a container-based approach for simulating and labelling C&C traffic of real malware through a proof-of-concept implementation.
dc.languageEN
dc.titleA containerised approach to labelled C&C traffic
dc.typeJournal article
dc.creator.authorAsprusten, Markus Leira
dc.creator.authorGjerstad, Julie Lidahl
dc.creator.authorGrov, Gudmund
dc.creator.authorKjellstadli, Espen Hammer
dc.creator.authorFlood, Robert
dc.creator.authorClausen, Henry
dc.creator.authorAspinall, David
cristin.unitcode185,15,5,0
cristin.unitnameInstitutt for informatikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1989685
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Norsk Informasjonssikkerhetskonferanse (NISK)&rft.volume=&rft.spage=&rft.date=2021
dc.identifier.jtitleNorsk Informasjonssikkerhetskonferanse (NISK)
dc.identifier.urnURN:NBN:no-94062
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn1893-6563
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/91492/1/1989685.pdf
dc.type.versionPublishedVersion


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