Elaboration d'une méthodologie orientée-principes pour la modélisation business de la vie privée sur base de textes légaux

Abstract

With constantly increasing volume of collected and processed private
data, it becomes more and more important to protect individuals. The Gene-
ral Data Protection Regulation (GDPR), implemented by European Union,
will enforce as of 2018 new regulations to any actor processing or collecting
personal data. This Master Thesis presents a methodology to create models
at a business level (organizational) in compliance with a legal text. An application
of this methodology to the GDPR is presented, in order to provide
a tool to those actors.
Keywords : principles-oriented model, privacy management, GDPR, modeling
methodology, legal compliance, model.

Date of Award	21 Jun 2017
Original language	French
Awarding Institution	University of Namur
Supervisor	Anthony Cleve (President) & Jean-Noel Colin (Supervisor)