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ELPaaS: Event Log Privacy as a Service

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.
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Category

Academic article

Language

English

Author(s)

  • Martin Bauer
  • Stephan A. Fahrenkrog-Petersen
  • Agnes Koschmider
  • Felix Mannhardt
  • Han van der Aa
  • Matthias Weidlich

Affiliation

  • SINTEF Digital / Technology Management
  • University of Kiel
  • Humboldt University Berlin

Year

2019

Published in

CEUR Workshop Proceedings

Volume

2420

Page(s)

159 - 163

External resources

View this publication at Norwegian Research Information Repository