ProvMark: A Provenance Expressiveness Benchmarking System

Sheung Chi Chan, James Cheney, Pramod Bhatotia, Thomas Pasquier, Ashish Gehani, Hassaan Irshad, Lucian Carata, Margo Seltzer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

System level provenance is of widespread interest for applications such as security enforcement and information protection. However, testing the correctness or completeness of provenance capture tools is challenging and currently done manually. In some cases there is not even a clear consensus about what behavior is correct. We present an automated tool, ProvMark, that uses an existing provenance system as a black box and reliably identifies the provenance graph structure recorded for a given activity, by a reduction to subgraph isomorphism problems handled by an external solver. ProvMark is a beginning step in the much needed area of testing and comparing the expressiveness of provenance systems. We demonstrate ProvMark's usefuless in comparing three capture systems with different architectures and distinct design philosophies.
Original languageEnglish
Title of host publicationMiddleware '19 Proceedings of the 20th International Middleware Conference
Number of pages14
ISBN (Print)978-1-4503-7009-7
Publication statusPublished - 31 Dec 2019
Event20th ACM/IFIP International Middleware Conference - Davis, United States
Duration: 9 Dec 201913 Dec 2019


Conference20th ACM/IFIP International Middleware Conference
Abbreviated titleMiddleware 2019
Country/TerritoryUnited States
Internet address

Keywords / Materials (for Non-textual outputs)

  • provenance
  • benchmarking
  • subgraph isomorphism


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