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ELPaaS: Event Log Privacy as a Service

ELPaaS: Event Log Privacy as a Service

Category
Journal publication
Abstract
The privacy of an organization's workers represents a crucial concern in process mining settings, where data on an individual's performance is recorded and possibly shared for analysis. To enable users to appropriately deal with privacy concerns in process mining, this paper introduces ELPaaS (Event Log Privacy as a Service), a web application that offers state-of-the-art techniques for event log sanitization and privacy-preserving process mining queries. By employing our techniques, users obtain event logs and process mining results that provide privacy guarantees such as differential privacy and k-anonymity. Hence, the privacy of an organization's workers is protected.
Language
English
Author(s)
  • Bauer Martin
  • Fahrenkrog-Petersen Stephan A.
  • Koschmider Agnes
  • Mannhardt Felix
  • van der Aa Han
  • Weidlich Matthias
Affiliation
  • Humboldt University Berlin
  • University of Kiel
  • SINTEF Digital / Technology Management
Year
2019
Published in
CEUR Workshop Proceedings
ISSN
1613-0073
Publisher
Technical University of Aachen
Volume
2420
Page(s)
159 - 163
External resources