Privacy Patterns in Business Processes
| dc.contributor.author | Buchmann, Erik | |
| dc.contributor.author | Anke, Jürgen | |
| dc.contributor.editor | Eibl, Maximilian | |
| dc.contributor.editor | Gaedke, Martin | |
| dc.date.accessioned | 2017-08-28T23:49:12Z | |
| dc.date.available | 2017-08-28T23:49:12Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | 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. | en |
| dc.identifier.doi | 10.18420/in2017_79 | |
| dc.identifier.isbn | 978-3-88579-669-5 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik, Bonn | |
| dc.relation.ispartof | INFORMATIK 2017 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-275 | |
| dc.subject | GDPR | |
| dc.subject | Privacy Modelling | |
| dc.subject | Business Processes | |
| dc.subject | Workflow Pattern | |
| dc.title | Privacy Patterns in Business Processes | en |
| gi.citation.endPage | 798 | |
| gi.citation.startPage | 793 | |
| gi.conference.date | 25.-29. September 2017 | |
| gi.conference.location | Chemnitz | |
| gi.conference.sessiontitle | ZuGPM 2017 – Workshop zum Stand, den Herausforderungen und Impulsen des Geschäftsprozessmanagements |
Dateien
Originalbündel
1 - 1 von 1