Model-Driven Approach for Privacy Management in Business Ecosystem

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

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Résumé

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.

langue originaleAnglais
titreMODELSWARD 2017 - Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development
Sous-titreMODELSWARD 2017
rédacteurs en chefLuis Ferreira Pires, Bran Selic, Slimane Hammoudi
Pages392-400
Nombre de pages9
Volume2017-January
ISBN (Electronique)9789897582103
Etat de la publicationPublié - 2017

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    Feltus, C., Grandry, E., Kupper, T., & Colin, J-N. (2017). Model-Driven Approach for Privacy Management in Business Ecosystem. Dans L. F. Pires, B. Selic, & S. Hammoudi (eds.), MODELSWARD 2017 - Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development: MODELSWARD 2017 (Vol 2017-January, p. 392-400)