Realizing Privacy-Aware Data Flow Diagrams In Java
Typ
Examensarbete för masterexamen
Program
Publicerad
2022
Författare
Angergård, Theodor
Karlsson, Tobias
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Privacy by Design is an approach to designing systems at every step of the way
to respect people’s personal data. Alshareef et al. defined rules for taking a Data
Flow Diagram, which can be a good tool for designing functional aspects of systems,
and introduced transformation rules that add new nodes and edges that bring the
non-functional aspect of privacy. The result of transforming a Data Flow Diagram
is a Privacy-Aware Data Flow Diagram that would force the developer to design
with privacy in mind.
However, the Privacy-Aware Data Flow Diagram was only sketched up in theory
and never put to the test, which is what this thesis changes. We did this by first
designing an algorithm called Ray that generates code from a Data Flow Diagram.
Then extending this functionality with another algorithm, called Holt, to support
most of the ideas with the PA-DFD. These two algorithms, along with a new data
structure we call Holt Privacy-Aware Data Flow Diagrams, are our contributions to
one possible solution of realizing Privacy-Aware Data Flow Diagrams into runnable
code. The code gets generated with the help of annotation processing in Java. We
evaluate this solution at the end of the thesis with a runnable case study.
Beskrivning
Ämne/nyckelord
Data Flow , Diagrams , Privacy by design , Code generation , GDPR