Checking security compliance between models and code.

The verification that planned security mechanisms are actually implemented in the software code is a challenging endeavor. In the context of model-based development, the implemented security mechanisms must capture all intended security properties that were considered in the design models. Assuring this compliance manually is labor intensive and can be error-prone. This work introduces the first semi-automatic technique for secure data flow compliance checks between design models and code. We develop heuristic-based automated mappings between a design-level model (SecDFD, provided by humans) and a code-level representation (Program Model, automatically extracted from the implementation) in order to guide users in discovering compliance violations, and hence potential security flaws in the code. These mappings enable an automated, and project-specific static analysis of the implementation with respect to the desired security properties of the design model. We contribute with (i) a definition of corresponding elements between the design-level and the implementation-level models and a heuristic-based approach to search for correspondences, (ii) two types of security compliance checks using static code analysis, and (iii) an implementation of our approach as a publicly available Eclipse plugin, evaluated with three studies on open source Java projects. Our evaluation shows that the mappings are automatically suggested with up to 87.2% precision. Further, the two developed types of security compliance checks are relatively precise (average precision is 79.6% and 100%), but may still overlook some implemented information flows (average recall is 65.5% and 94.5%) due to the large gap between the design and implementation. Finally, our approach enables a project-specific analysis with up to 62% less false alarms raised by an existing data flow analyzer.