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dc.contributor.authorWuyts, Kim
dc.contributor.authorVan landuyt, Dimitri
dc.contributor.authorHovsepyan, Aram
dc.contributor.authorJoosen, Wouter
dc.date.accessioned2021-10-26T09:47:09Z
dc.date.available2021-10-26T09:47:09Z
dc.date.issued2018
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/32297
dc.sourceIIOimport
dc.titleEffective and efficient privacy threat modeling through domain refinements
dc.typeProceedings paper
dc.contributor.imecauthorJoosen, Wouter
dc.source.peerreviewyes
dc.source.beginpage1175
dc.source.endpage1178
dc.source.conferenceSAC '18 Proceedings of the 33rd Annual ACM Symposium on Applied Computing
dc.source.conferencedate9/04/2018
dc.source.conferencelocationPau France
dc.identifier.urlhttps://dl.acm.org/citation.cfm?id=3167414
imec.availabilityPublished - imec


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