| dc.contributor.author | Zimmermann, Christian | |
| dc.contributor.editor | Roßnagel, Heiko | |
| dc.contributor.editor | Schunck, Christian H. | |
| dc.contributor.editor | Mödersheim, Sebastian | |
| dc.contributor.editor | Hühnlein, Detlef | |
| dc.date.accessioned | 2020-05-27T12:09:21Z | |
| dc.date.available | 2020-05-27T12:09:21Z | |
| dc.date.issued | 2020 | |
| dc.identifier.isbn | 978-3-88579-699-2 | |
| dc.identifier.issn | 1617-5468 | |
| dc.identifier.uri | http://dl.gi.de/handle/20.500.12116/33169 | |
| dc.description.abstract | The 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.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Open Identity Summit 2020 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-305 | |
| dc.subject | Privacy Engineering | |
| dc.subject | Data Protection | |
| dc.subject | Automation | |
| dc.title | Automation Potentials in Privacy Engineering | en |
| dc.type | Text/Conference Paper | |
| dc.pubPlace | Bonn | |
| mci.reference.pages | 121-132 | |
| mci.conference.sessiontitle | Regular Research Papers | |
| mci.conference.location | Copenhagen, Denmark | |
| mci.conference.date | 26.-27. May 2020 | |
| dc.identifier.doi | 10.18420/ois2020_10 | |
