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Deriving Effective Permissions for Modeling Artifacts from Fine-grained Access Control Rules

Abstract

In case of collaborative modeling, complex systems are de- veloped by different stakeholders. To guarantee security, access control policies need to be enforced during the col- laboration. Levels of required confidentiality and integrity may vary across modeling artifacts, and even features of a single model element. Fine-grained rule-based access control was proposed to meet the needs of flexible and concise access control. Rule- based policies are inherently subject to conflicts between the rules; these conflicts should be interpreted in a consis- tent but also predictable way that caters to the preferences of the policy engineer. We propose a deterministic, parameterizable resolution strategy between conflicting rules to calculate effective ac- cess permissions for each fact in the model. Our approach is illustrated using a case study of the MONDO EU projec

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