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Privacy Patterns in Business Processes

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2017

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Gesellschaft für Informatik, Bonn

Zusammenfassung

Workflow design patterns provide abstract, „best-practices“ solutions to recurring problems. While the majority of workflow patterns focus on control flow, resources and data, our concern are patterns from a data privacy perspective. Privacy patterns have the potential to ease the life of process developers, auditors and privacy officers by providing pre-validated patterns that correspond with existing data privacy regulations. With this paper, we strive to establish workflow privacy patterns as a direction of research. For this purpose, we motivate privacy patterns, we discuss requirements and research directions, and we review options to integrate patterns into existing modeling languages and tools.

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Buchmann, Erik; Anke, Jürgen (2017): Privacy Patterns in Business Processes. INFORMATIK 2017. DOI: 10.18420/in2017_79. Gesellschaft für Informatik, Bonn. PISSN: 1617-5468. ISBN: 978-3-88579-669-5. pp. 793-798. ZuGPM 2017 – Workshop zum Stand, den Herausforderungen und Impulsen des Geschäftsprozessmanagements. Chemnitz. 25.-29. September 2017

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