We present a novel robust hashing mechanism for models. Robust hashing algorithms (i.e. hashing algorithms that generate similar outputs from similar input data) are useful as a key building block in intellectual property protection, authenticity assessment and fast comparison and retrieval solutions
Read about our access-control mechanisms for models. We rely on a new domain-specific language tailored to the definition of RBAC rules on models and on its enforcement thanks to the automatic generation of security compliant (virtual) views.
A common problem when modeling software systems is the lack of support to specify how to enforce privacy concerns in data models. In this post, we propose a profile to define and enforce privacy concerns in UML class diagrams. Models annotated with our profile can be used in model-driven methodologies to generate privacy-aware applications.
We propose the integration of digital watermarking techniques in the model-driven engineering development lifecycle as way to protect the intellectual property of your modeling artefacts in collaborative modeling scenarios
Our work helps security experts to visualize, (automatically) analyse and manipulate web security access-control policies, specially for Java EE