Title
Secure Data-Flow Compliance Checks between Models and Code Based on Automated Mappings
Abstract
During the development of security-critical software, the system implementation must capture the security properties postulated by the architectural design. This paper presents an approach to support secure data-flow compliance checks between design models and code. To iteratively guide the developer in discovering such compliance violations we introduce automated mappings. These mappings are created by searching for correspondences between a design-level model (Security Data Flow Diagram) and an implementation-level model (Program Model). We limit the search space by considering name similarities between model elements and code elements as well as by the use of heuristic rules for matching data-flow structures. The main contributions of this paper are three-fold. First, the automated mappings support the designer in an early discovery of implementation absence, convergence, and divergence with respect to the planned software design. Second, the mappings also support the discovery of secure data-flow compliance violations in terms of illegal asset flows in the software implementation. Third, we present our implementation of the approach as a publicly available Eclipse plugin and its evaluation on five open source Java projects (including Eclipse secure storage).
Year
DOI
Venue
2019
10.1109/MODELS.2019.00-18
2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS)
Keywords
DocType
ISBN
Security-by-design,Security compliance,Data Flow Diagram (DFD),Model-to-Model Transformation (M2M)
Conference
978-1-7281-2537-4
Citations 
PageRank 
References 
0
0.34
28
Authors
5
Name
Order
Citations
PageRank
Sven Peldszus1155.76
Katja Tuma2102.34
Daniel Strüber311621.50
Jan Jurjens416916.07
Riccardo Scandariato549236.85