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Contextualisation of data flow diagrams for security analysis
Publikationstyp
Conference Paper
Date Issued
2020-06
Sprache
English
TORE-URI
First published in
Number in series
12419 LNCS
Start Page
186
End Page
197
Citation
International Workshop on Graphical Models for Security (GramSec 2020)
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Springer
Data flow diagrams (DFDs) are popular for sketching systems for subsequent threat modelling. Their limited semantics make reasoning about them difficult, but enriching them endangers their simplicity and subsequent ease of take up. We present an approach for reasoning about tainted data flows in design-level DFDs by putting them in context with other complementary usability and requirements models. We illustrate our approach using a pilot study, where tainted data flows were identified without any augmentations to either the DFD or its complementary models.