Privacy and Confidentiality in Process Mining -- Threats and Research Challenges

TL;DR

This paper reviews privacy and confidentiality issues in process mining, identifies threats, and outlines research challenges to develop privacy-preserving techniques, especially in sensitive contexts like healthcare.

Contribution

It provides a foundational overview of threats and research challenges, proposing a conceptual model to guide future privacy-preserving process mining research.

Findings

Identification of key privacy threats in process mining

Analysis of current techniques and their limitations

Outline of research challenges for future development

Abstract

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.