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Under the GDPR requirements and privacy-by-design guidelines, access control for personal data should not be limited to a simple role-based scenario. For the processing to be compliant, additional attributes, such as the purpose of processing or legal basis, should be verified against an established data processing agreement or policy.
In this paper, we propose an automated policy-based compliance checking model and implement it using SHACL. We provide the preliminary performance evaluation results and offer optimizations. We also define the procedure for handling conflicts in policies, resulting from the natural language description of the compliance rules. Our method combines a data model with compliance checking within the Semantic Web framework, generating what we call an operational model and promoting interoperability.
Anas Al Bassit, Katsiaryna Krasnashchok, Sabri Skhiri, Majd Mustapha, Policy-based Automated Compliance Checking, In Proc. of the 5th International Joint Conference on Rules and Reasoning, 2021.
The final paper will be published after the conference.