Transforming data flow diagrams for privacy compliance
Paper in 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

Author

Hanaa Alshareef

Chalmers, Computer Science and Engineering (Chalmers), Formal methods

Sandro Stucki

University of Gothenburg

Gerardo Schneider

Chalmers, Computer Science and Engineering (Chalmers), Formal methods

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, ,

Subject Categories

Other Computer and Information Science

Computer Science

Computer Systems

DOI

10.5220/0010255002070215

More information

Latest update

4/30/2021