Transforming data flow diagrams for privacy compliance
Paper i proceeding, 2021

Most software design tools, as for instance Data Flow Diagrams (DFDs), are focused on functional aspects and cannot thus model non-functional aspects like privacy. In this paper, we provide an explicit algorithm and a proof-of-concept implementation to transform DFDs into so-called Privacy-Aware Data Flow Diagrams (PA-DFDs). Our tool systematically inserts privacy checks to a DFD, generating a PA-DFD. We apply our approach to two realistic applications from the construction and online retail sectors.

GDPR

Data flow diagrams

Privacy by design

Författare

Hanaa Alshareef

Chalmers, Data- och informationsteknik, Formella metoder

Sandro Stucki

Göteborgs universitet

Gerardo Schneider

Chalmers, Data- och informationsteknik, Formella metoder

MODELSWARD 2021 - Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development

207-215

9th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2021
Virtual, Online, ,

Ämneskategorier

Annan data- och informationsvetenskap

Datavetenskap (datalogi)

Datorsystem

DOI

10.5220/0010255002070215

Mer information

Senast uppdaterat

2021-04-30