Information partnerships and data protection – Secure data exchange in process industries

Authors

  • Markus Graube Technische Universität Dresden
  • Sachari Wassilew Technische Universität Dresden
  • Martin Beck Technische Universität Dresden
  • Ralf Gitzel ABB Forschungszentrum
  • Christian Stöcker BASF SE
  • Michael Krauss BASF SE
  • Leon Urbas Technische Universität Dresden

DOI:

https://doi.org/10.17560/atp.v58i06.2303

Abstract

Both vendors and operators of chemical plants stand to gain from the exchange of data. For example, the exchange could be used to create customised maintenance recommendations. However, the operators risk revealing sensitive information about their core business in their process data. This article examines an obfuscation-based data protection approach. We explain the effects of such a solution und identify further research needed for its realization.

Published

2016-06-02

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