An Access Control Language for a General Provenance Model

  • Authors:
  • Qun Ni;Shouhuai Xu;Elisa Bertino;Ravi Sandhu;Weili Han

  • Affiliations:
  • Department of Computer Science, Purdue University, West Lafayette, USA;Department of Computer Science, UT San Antonio, San Antonio, USA;Department of Computer Science, Purdue University, West Lafayette, USA;Institute for Cyber Security, UT San Antonio, San Antonio, USA;Software School, Fudan University, Shanghai, China

  • Venue:
  • SDM '09 Proceedings of the 6th VLDB Workshop on Secure Data Management
  • Year:
  • 2009

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Abstract

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.