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Enabling Privacy in Provenance-Aware Workflow Systems

Summary: Formalizes privacy threats in provenance-aware workflow repositories—data, module (proprietary), and workflow-structure privacy—and analyzes their impact on query semantics. Advocates integrating privacy into provenance search/query engines (keyword and structural-pattern queries) and sketches technical challenges and approaches. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
163
Venue
CIDR
Year
2011
Pagerank
4.8227603e-05
Overall Rank
7,132 | 50.39%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
6,515 Provenance Views for Module Privacy 2011 PODS 5.0321577e-05
9,766 DPXPlain: Privately Explaining Aggregate Query Answers 2023 VLDB 4.2856106e-05
11,471 On Optimizing the Trade-off between Privacy and Utility in Data Provenance 2021 SIGMOD 4.1945683e-05
12,207 Surrogate Parenthood: Protected and Informative Graphs 2011 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
7,370 Detecting and Resolving Unsound Workflow Views for Correct Provenance Analysis 2009 SIGMOD 4.7500735e-05
12,282 Searching Workflows with Hierarchical Views 2010 VLDB 4.1945683e-05
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