DBCRMay 22, 2014

An Analytical Survey of Provenance Sanitization

arXiv:1405.5777v128 citations
Originality Synthesis-oriented
AI Analysis

It provides a comprehensive analysis for researchers and practitioners in data security and provenance, but is incremental as a survey.

This survey paper reviews the state of the art in secure provenance, focusing on mechanisms for controlling access and preserving integrity to address security risks in provenance technology.

Security is likely becoming a critical factor in the future adoption of provenance technology, because of the risk of inadvertent disclosure of sensitive information. In this survey paper we review the state of the art in secure provenance, considering mechanisms for controlling access, and the extent to which these mechanisms preserve provenance integrity. We examine seven systems or approaches, comparing features and identifying areas for future work.

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