Privacy and Confidentiality in Process Mining: Threats and Research Challenges
Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Fani Sani, Mohammadreza, Agnes Koschmider, Felix Mannhardt, Saskia Nuñez von Voigt, Majid Rafiei, Leopold Von Waldthausen · RWTH Publications (RWTH Aachen) · 2022
Privacy and confidentiality are very important prerequisites for applying process mining to comply with regulations and keep company secrets. This article provides a foundation for future research on privacy-preserving and confidential process mining techniques. Main threats are identified and related to a motivation application scenario in a hospital context as well as to the current body of work on privacy and confidentiality in process mining. A newly developed conceptual model structures the discussion that existing techniques leave room for improvement. This results in a number of important research challenges that should be addressed by future process mining research.