Privacy and Confidentiality in Process Mining -- Threats and Research Challenges
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.
Cite
@article{arxiv.2106.00388,
title = {Privacy and Confidentiality in Process Mining -- Threats and Research Challenges},
author = {Gamal Elkoumy and Stephan A. Fahrenkrog-Petersen and Mohammadreza Fani Sani and Agnes Koschmider and Felix Mannhardt and Saskia Nuñez von Voigt and Majid Rafiei and Leopold von Waldthausen},
journal= {arXiv preprint arXiv:2106.00388},
year = {2021}
}
Comments
Accepted for publication in ACM Transactions on Management Information Systems