@inproceedings{52821aba408547abaf578cba1ad38492,
title = "Model-Driven Approach for Privacy Management in Business Ecosystem",
abstract = "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.",
keywords = "Business ecosystem, GDPR, General data protection regulation, Interconnected society, Model, Model design, Model-driven approach, Privacy management, Privacy metamodel, Service system",
author = "Christophe Feltus and Eric Grandry and Thomas Kupper and Jean-No{\"e}l Colin",
note = "Publisher Copyright: {\textcopyright} 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2017",
doi = "10.5220/0006142203920400",
language = "English",
volume = "2017-January",
series = "Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development",
pages = "392--400",
editor = "Pires, {Luis Ferreira} and Slimane Hammoudi and Bran Selic",
booktitle = "MODELSWARD 2017 - Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development",
}