Logo des Repositoriums
 

Artificial Intelligence Based Identity Learning for Malware Detection Using Fuzzified Advanced Robust Hashes

Kurzanzeige
dc.contributor.authorWöhnert, Kai Hendrik
dc.contributor.authorSkwarek, Volker
dc.contributor.editorKrämer, Juliane
dc.contributor.editorAulbach, Thomas
dc.contributor.editorNüsken, Michael
dc.date.accessioned2024-04-16T12:38:34Z
dc.date.available2024-04-16T12:38:34Z
dc.date.issued2023
dc.identifier.doi10.18420/cdm-2023-35-22
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43936
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V. / FG KRYPTO
dc.relation.ispartofcrypto day matters 34
dc.relation.ispartofseriescrypto day matters
dc.titleArtificial Intelligence Based Identity Learning for Malware Detection Using Fuzzified Advanced Robust Hashesen
dc.typeText/Abstract
gi.conference.date25.-26. Juni 2023
gi.conference.locationRegensburg
gi.conference.sessiontitleKurzbeitrag

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
CryptoDayMatters35-22-Woehnert.pdf
Größe:
155.79 KB
Format:
Adobe Portable Document Format
Herunterladen

Sammlungen

Krypto-Tag 35 (2023)