Provenance access control has been recognized as one of the most important components in an enterprise-level provenance system. However, it has only received little attention in the context of data security research. One important challenge in provenance access control is the lack of an access control language that supports its specific requirements, e.g., the support of both fine-grained policies and personal preferences, and decision aggregation from different applicable policies. In this paper, we propose an access control language tailored to these requirements.
Qun Ni, Shouhuai Xu, Elisa Bertino, Ravi S. Sandhu