Privacy and Confidentiality in Process Mining: Threats and Research Challenges
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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.
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2015 ◽
Vol 50
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pp. 15-31
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2017 ◽
Vol 25
(4)
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pp. 450-460
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