Contextualisation of Data Flow Diagrams for Security Analysis
Paper in proceeding, 2020

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.


Shamal Faily

Bournemouth University

Riccardo Scandariato

University of Gothenburg

Adam Shostack

Shostack and Associates

Laurens Sion

KU Leuven

Duncan Ki-Aries

Bournemouth University

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 12419 LNCS 186-197
9783030622299 (ISBN)

7th International Workshop on Graphical Models for Security, GramSec 2020
Boston, USA,

Subject Categories

Embedded Systems

Computer Science

Computer Systems



Related datasets

Contextualisation of Data Flow Diagrams for security analysis: Pilot study model [dataset]

DOI: 10.5281/zenodo.3872071

More information

Latest update