Model-Driven Approach for Privacy Management in Business Ecosystem

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

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.

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, Bran Selic, Slimane Hammoudi
Pages392-400
Number of pages9
Volume2017-January
ISBN (Electronic)9789897582103
Publication statusPublished - 2017

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Ecosystems
Industry
Data privacy
Processing
Compliance

Keywords

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

Cite this

Feltus, C., Grandry, E., Kupper, T., & Colin, J-N. (2017). Model-Driven Approach for Privacy Management in Business Ecosystem. In 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, pp. 392-400)
Feltus, Christophe ; Grandry, Eric ; Kupper, Thomas ; Colin, Jean-Noël. / Model-Driven Approach for Privacy Management in Business Ecosystem. MODELSWARD 2017 - Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development: MODELSWARD 2017. editor / Luis Ferreira Pires ; Bran Selic ; Slimane Hammoudi. Vol. 2017-January 2017. pp. 392-400
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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",
year = "2017",
language = "English",
volume = "2017-January",
pages = "392--400",
editor = "Pires, {Luis Ferreira} and Bran Selic and Slimane Hammoudi",
booktitle = "MODELSWARD 2017 - Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development",

}

Feltus, C, Grandry, E, Kupper, T & Colin, J-N 2017, Model-Driven Approach for Privacy Management in Business Ecosystem. in LF 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, pp. 392-400.

Model-Driven Approach for Privacy Management in Business Ecosystem. / Feltus, Christophe; Grandry, Eric; Kupper, Thomas; Colin, Jean-Noël.

MODELSWARD 2017 - Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development: MODELSWARD 2017. ed. / Luis Ferreira Pires; Bran Selic; Slimane Hammoudi. Vol. 2017-January 2017. p. 392-400.

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

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AB - 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.

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