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EDBT
2016
ACM

A Comprehensive Sanitization Approach for Workflow Provenance Graphs

3 years 20 days ago
A Comprehensive Sanitization Approach for Workflow Provenance Graphs
As the number of provenance aware organizations increases, particularly in workflow scientific domains, sharing provenance data becomes a necessity. Meanwhile, scientists wish to share their scientific results without sacrificing privacy, neither directly through illegal authorizations nor indirectly through illegal inferences. Nevertheless, current work in workflow provenance sanitizing approaches do not address the disclosure problem of sensitive information through inferences. In this paper, we propose a comprehensive workflow provenance sanitization approach called ProvS that maximize both graph utility and privacy with respect to the influence of various workflow constraints. Experimental results show the effectiveness of ProvS through testing it on a graph-based system implementation. Keywords Graph anonymity; Graph privacy; Secure provenance graph.
Noha Nagy Mohy, Hoda M. O. Mokhtar, Mohamed E. El-
Added 02 Apr 2016
Updated 02 Apr 2016
Type Journal
Year 2016
Where EDBT
Authors Noha Nagy Mohy, Hoda M. O. Mokhtar, Mohamed E. El-Sharkawi
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