Forensic Leak Detection for Business Process Models
Abstract
This paper presents a formal forensic technique based on information flow analysis to detect data and information leaks in business process models. The approach can be uniformly applied to the analysis of process specifications and the log files generated during process execution. The Petri net dialect IF net is used to provide a common basis for the formalization of isolation properties, the representation of business process specifications and their analysis. The utility of the approach is illustrated using an eHealth case study.
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