Privacy and Confidentiality in Process Mining -- Threats and Research Challenges
It addresses privacy concerns for organizations using process mining, but is incremental as it builds on existing work without introducing new methods.
The paper identifies privacy and confidentiality threats in process mining, particularly in a hospital context, and proposes a conceptual model to highlight gaps in existing techniques, leading to a set of research challenges for future work.
Privacy and confidentiality are very important prerequisites for applying process mining in order to comply with regulations and keep company secrets. This paper provides a foundation for future research on privacy-preserving and confidential process mining techniques. Main threats are identified and related to an 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.