Automatic information flow analysis of business process models

  • Authors:
  • Rafael Accorsi;Andreas Lehmann

  • Affiliations:
  • University of Freiburg, Germany;University of Rostock, Germany

  • Venue:
  • BPM'12 Proceedings of the 10th international conference on Business Process Management
  • Year:
  • 2012

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Abstract

We present an automated and efficient approach for the verification of information flow control for business process models. Building on the concept of Place-based Non-Interference, the novelty is that Petri net reachability is employed to detect places in which information leaks occur. We show that the approach is sound and complete, and present its implementation, the Anica tool. Anica employs state of the art model-checking algorithms to test reachability. An extensive evaluation comprising over 550 industrial process models is carried out and shows that information flow analysis of process models can be done in milliseconds.