Transforming provenance using redaction

  • Authors:
  • Tyrone Cadenhead;Vaibhav Khadilkar;Murat Kantarcioglu;Bhavani Thuraisingham

  • Affiliations:
  • University of Texas at Dallas, Richardson, TX, USA;University of Texas at Dallas, Richardson, TX, USA;University of Texas at Dallas, Richardson, TX, USA;University of Texas at Dallas, Richardson, TX, USA

  • Venue:
  • Proceedings of the 16th ACM symposium on Access control models and technologies
  • Year:
  • 2011

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Abstract

Ongoing mutual relationships among entities rely on sharing quality information while preventing release of sensitive content. Provenance records the history of a document for ensuring both, the quality and trustworthiness; while redaction identifies and removes sensitive information from a document. Traditional redaction techniques do not extend to the directed graph representation of provenance. In this paper, we propose a graph grammar approach for rewriting redaction policies over provenance. Our rewriting procedure converts a high level specification of a redaction policy into a graph grammar rule that transforms a provenance graph into a redacted provenance graph. Our prototype shows that this approach can be effectively implemented using Semantic Web technologies.