Architectural Uncertainty Analysis for Access Control Scenarios in Industry 4.0

Aus SDQ-Institutsseminar
Vortragende(r) Nicolas Boltz
Vortragstyp Masterarbeit
Betreuer(in) Maximilian Walter
Termin Fr 23. Juli 2021
Kurzfassung In this thesis, we present our approach to handle uncertainty in access control during design time. We propose the concept of trust as a composition of environmental factors that impact the validity of and consequently trust in access control properties. We use fuzzy inference systems as a way of defining how environmental factors are combined. These trust values are than used by an analysis process to identify issues which can result from a lack of trust.

We extend an existing data flow diagram approach with our concept of trust. Our approach of adding knowledge to a software architecture model and providing a way to analyze model instances for access control violations shall enable software architects to increase the quality of models and further verify access control requirements under uncertainty. We evaluate the applicability based on the availability, the accuracy and the scalability regarding the execution time.