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- Publisher
- Association for Computing Machinery
- Copyright
- Copyright © 2021 Copyright held by the owner/author(s).
- ISSN
- 2158-656X
- eISSN
- 2158-6578
- DOI
- 10.1145/3468877
- Publisher site
- See Article on Publisher Site
Abstract
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.
Journal
ACM Transactions on Management Information Systems (TMIS) – Association for Computing Machinery
Published: Oct 5, 2021
Keywords: Process mining