Privacy Patterns in Business Processes
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.
- Vollständige Referenz
- BibTeX
Buchmann, E. & Anke, J.,
(2017).
Privacy Patterns in Business Processes.
In:
Eibl, M. & Gaedke, M.
(Hrsg.),
INFORMATIK 2017.
Gesellschaft für Informatik, Bonn.
(S. 793-798).
DOI: 10.18420/in2017_79
@inproceedings{mci/Buchmann2017,
author = {Buchmann, Erik AND Anke, Jürgen},
title = {Privacy Patterns in Business Processes},
booktitle = {INFORMATIK 2017},
year = {2017},
editor = {Eibl, Maximilian AND Gaedke, Martin} ,
pages = { 793-798 } ,
doi = { 10.18420/in2017_79 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
author = {Buchmann, Erik AND Anke, Jürgen},
title = {Privacy Patterns in Business Processes},
booktitle = {INFORMATIK 2017},
year = {2017},
editor = {Eibl, Maximilian AND Gaedke, Martin} ,
pages = { 793-798 } ,
doi = { 10.18420/in2017_79 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
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Mehr Information
DOI: 10.18420/in2017_79
ISBN: 978-3-88579-669-5
ISSN: 1617-5468
Datum: 2017
Sprache:
(en)
(en)Sammlungen
- P275 - INFORMATIK 2017 [266]

