Konferenzbeitrag

Automation Potentials in Privacy Engineering

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Dokumententyp
Text/Conference Paper
Datum
2020
Zeitschriftentitel
ISSN der Zeitschrift
Bandtitel
Quelle
Open Identity Summit 2020
Regular Research Papers
Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
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.
Beschreibung
Zimmermann, Christian (2020): Automation Potentials in Privacy Engineering. Open Identity Summit 2020. DOI: 10.18420/ois2020_10. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-699-2. pp. 121-132. Regular Research Papers. Copenhagen, Denmark. 26.-27. May 2020
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