تقرير
Privacy and Confidentiality in Process Mining -- Threats and Research Challenges
| العنوان: | Privacy and Confidentiality in Process Mining -- Threats and Research Challenges |
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| المؤلفون: | Elkoumy, Gamal, Fahrenkrog-Petersen, Stephan A., Sani, Mohammadreza Fani, Koschmider, Agnes, Mannhardt, Felix, von Voigt, Saskia Nuñez, Rafiei, Majid, von Waldthausen, Leopold |
| سنة النشر: | 2021 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Cryptography and Security, Computer Science - Databases |
| الوصف: | 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. Comment: Accepted for publication in ACM Transactions on Management Information Systems |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1145/3468877 |
| URL الوصول: | http://arxiv.org/abs/2106.00388 |
| رقم الأكسشن: | edsarx.2106.00388 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1145/3468877 |
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