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LINDDUN GO: A Lightweight Approach to Privacy Threat Modeling

dc.contributor.authorWuyts, Kim
dc.contributor.authorSion, Laurens
dc.contributor.authorJoosen, Wouter
dc.date.accessioned2021-11-30T09:10:25Z
dc.date.available2021-11-02T16:03:10Z
dc.date.available2021-11-30T09:10:25Z
dc.date.issued2020
dc.identifier.issnna
dc.identifier.otherWOS:000630275400037
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/38031.2
dc.sourceWOS
dc.titleLINDDUN GO: A Lightweight Approach to Privacy Threat Modeling
dc.typeProceedings paper
dc.contributor.imecauthorJoosen, Wouter
dc.contributor.orcidextWuyts, Kim::0000-0002-0950-9490
dc.identifier.doi10.1109/EuroSPW51379.2020.00047
dc.identifier.eisbn978-1-7281-8597-2
dc.source.numberofpages8
dc.source.peerreviewyes
dc.source.beginpage302
dc.source.endpage309
dc.source.conference5th IEEE European Symposium on Security and Privacy (IEEE Euro S and P)
dc.source.conferencedateSEP 07-11, 2020
dc.source.conferencelocationGenova, Italy
dc.source.journalna
imec.availabilityPublished - imec


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220.500.12860/38031.2*2021-11-30T09:09:20Zvalidation by library/open access desk
120.500.12860/380312021-11-02T16:03:10Z

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