Applying Machine Learning to use security oracles: a case study in virus and malware detection

dc.contributor.author	Preuveneers, Davy
dc.contributor.author	Lavens, Emma
dc.contributor.author	Joosen, Wouter
dc.contributor.imecauthor	Joosen, Wouter
dc.date.accessioned	2022-11-15T10:31:37Z
dc.date.available	2022-09-22T02:50:29Z
dc.date.available	2022-11-15T10:31:37Z
dc.date.issued	2022
dc.description.wosFundingText	This research is partially funded by the Research Fund KU Leuven, by the Flemish Research Programme Cybersecurity, and by VLAIO through the CS ICON project "Cyber Security Artificial Intelligence" (CSAI). We would like to thank AXS Guard, a member of the CSAI project consortium, for permission to use their dataset.
dc.identifier.doi	10.1109/EuroSPW55150.2022.00030
dc.identifier.eisbn	978-1-6654-9560-8
dc.identifier.issn	na
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/40477
dc.publisher	IEEE
dc.source.beginpage	240
dc.source.conference	7th IEEE European Symposium on Security and Privacy (IEEE EuroS and P)
dc.source.conferencedate	JUN 06-10, 2022
dc.source.conferencelocation	Genoa
dc.source.endpage	251
dc.source.journal	na
dc.source.numberofpages	12
dc.subject.keywords	NOISE
dc.subject.keywords	CLASSIFICATION
dc.title	Applying Machine Learning to use security oracles: a case study in virus and malware detection
dc.type	Proceedings paper
dspace.entity.type	Publication
Files
Publication available in collections:	Conference contributions

Date