Model-Driven Approach for Privacy Management in Business Ecosystem

Christophe Feltus, Eric Grandry, Thomas Kupper, Jean-Noël Colin

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

8 Downloads (Pure)


Protection of individuals with regard to the processing of personal data and the free movement of such data constitutes new challenges in terms of privacy management. Although this privacy management ought to be conducted in compliance with national and international regulation, for now we observe that no solution, model or method, fully consider and integrate these new regulations yet. Therefore, in this paper, we propose to tackle this problem through the definition of an expressive privacy metamodel which aims to represent and aggregate the concepts that are relevant to define and to deal with privacy issues, at an organizational level. Secondly, we discuss how this privacy metamodel may support and may help understanding the management of the privacy in enterprises involve in interconnected societies, by integrating the privacy metamodel with the systemic business ecosystem.

Original languageEnglish
Title of host publicationMODELSWARD 2017 - Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development
Subtitle of host publicationMODELSWARD 2017
EditorsLuis Ferreira Pires, Slimane Hammoudi, Bran Selic
Number of pages9
ISBN (Electronic)9789897582103
Publication statusPublished - 2017

Publication series

NameProceedings of the 5th International Conference on Model-Driven Engineering and Software Development


  • Business ecosystem
  • GDPR
  • General data protection regulation
  • Interconnected society
  • Model
  • Model design
  • Model-driven approach
  • Privacy management
  • Privacy metamodel
  • Service system


Dive into the research topics of 'Model-Driven Approach for Privacy Management in Business Ecosystem'. Together they form a unique fingerprint.

Cite this