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Automation Potentials in Privacy Engineering

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dc.contributor.authorZimmermann, Christian
dc.contributor.editorRoßnagel, Heiko
dc.contributor.editorSchunck, Christian H.
dc.contributor.editorMödersheim, Sebastian
dc.contributor.editorHühnlein, Detlef
dc.date.accessioned2020-05-27T12:09:21Z
dc.date.available2020-05-27T12:09:21Z
dc.date.issued2020
dc.description.abstractThe GDPR enshrines the privacy by design paradigm in law, making sound privacy engineering methods more important than ever. Integrating automation and extensive tool support into the privacy engineering process has the potential to support organizations in streamlining the implementation of privacy and data protection by design and reducing its cost. Based on a privacy engineering reference process, this paper systematically investigates automation potential in privacy engineering. In particular, it discusses potentials and implications of automation in privacy engineering and illustrates directions for future research.en
dc.identifier.doi10.18420/ois2020_10
dc.identifier.isbn978-3-88579-699-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/33169
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofOpen Identity Summit 2020
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-305
dc.subjectPrivacy Engineering
dc.subjectData Protection
dc.subjectAutomation
dc.titleAutomation Potentials in Privacy Engineeringen
dc.typeText/Conference Paper
gi.citation.endPage132
gi.citation.publisherPlaceBonn
gi.citation.startPage121
gi.conference.date26.-27. May 2020
gi.conference.locationCopenhagen, Denmark
gi.conference.sessiontitleRegular Research Papers

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P305 - Open Identity Summit 2020