Model-Driven Approach for Privacy Management in Business Ecosystem

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférenceArticle dans les actes d'une conférence/un colloque

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
étatPublié - 2017

Empreinte digitale

Ecosystems
Industry
Data privacy
Processing
Compliance

Citer ceci

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)
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. Editeur / Luis Ferreira Pires ; Bran Selic ; Slimane Hammoudi. Vol 2017-January 2017. p. 392-400
@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",
year = "2017",
language = "English",
volume = "2017-January",
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Feltus, C, Grandry, E, Kupper, T & Colin, J-N 2017, Model-Driven Approach for Privacy Management in Business Ecosystem. Dans 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, p. 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.

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférenceArticle dans les actes d'une conférence/un colloque

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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. Dans Pires LF, Selic B, Hammoudi S, rédacteurs en chef, MODELSWARD 2017 - Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development: MODELSWARD 2017. Vol 2017-January. 2017. p. 392-400