{"id":13610,"date":"2025-10-16T19:50:58","date_gmt":"2025-10-16T17:50:58","guid":{"rendered":"https:\/\/www.ibisc.univ-evry.fr\/?page_id=13610"},"modified":"2025-10-16T20:08:41","modified_gmt":"2025-10-16T18:08:41","slug":"advance-2025-technical-session-4-short-papers-sp4-1","status":"publish","type":"page","link":"https:\/\/www.ibisc.univ-evry.fr\/en\/advance-2025-technical-session-4-short-papers-sp4-1\/","title":{"rendered":"ADVANCE 2025 – Technical Session 4 (Short Papers) – SP4.1"},"content":{"rendered":"
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Upload PDF<\/strong><\/span><\/a><\/p>\n<\/div>

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ADVANCE 2025 Web site<\/strong><\/a><\/p>\n<\/div>

ADVANCE 2025 Proceedings<\/strong><\/a><\/p>\n<\/div>

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Data Beyond Control<\/strong><\/h2>\n

Lo\u00efc Pantano\u00b9, Karima Boudaoud\u00b2, Emmy Holveck\u00b3, Elena Ecerf\u2074, Alicia Matingou\u2075, Jean-Sylvestre Berg\u00e9\u2076<\/p>\n

\u00b9 Polytech Nice-Sophia, Biot, France (Email: loic.pantano@gmail.com<\/em><\/a>) \u00b2 Universit\u00e9 C\u00f4te d\u2019Azur – Laboratoire I3S-CNRS, Sophia Antipolis, France (Email: karima.boudaoud@univ-cotedazur.fr<\/em><\/a>) \u00b3 Universit\u00e9 C\u00f4te d\u2019Azur – Facult\u00e9 de Droit et de Science Politique, Nice, France (Email: emmy.holveck@etu.univ-cotedazur.fr<\/em><\/a>) \u2074 Universit\u00e9 C\u00f4te d\u2019Azur – Facult\u00e9 de Droit et de Science Politique, Nice, France (Email: elena.lecerf@etu.univ-cotedazur.fr<\/em><\/a>) \u2075 Universit\u00e9 C\u00f4te d\u2019Azur – Facult\u00e9 de Droit et de Science Politique, Nice, France (Email: alicia.matingou@etu.univ-cotedazur.fr<\/em><\/a>) \u2076 Universit\u00e9 C\u00f4te d\u2019Azur – Facult\u00e9 de Droit et de Science Politique, Nice, France (Email: Jean-Sylvestre.berge@univ-cotedazur.fr<\/em><\/a>)<\/p>\n

DOI: https:\/\/doi.org\/10.48545\/advance2025-shortpapers-4_1<\/a><\/p>\n

Abstract<\/strong><\/h3>\n

In a context of increasing digitalization, controlling data flows constitutes a major challenge for organizations, particularly when it comes to sensitive data. This study examines the technical and legal challenges related to secure data flow management, based on the concrete case of the medical analysis laboratory MedLab and its facial recognition system implementation project. The study proposes an integrated approach combining Zero-Trust architecture, multi-factor authentication mechanisms, and advanced encryption solutions, while ensuring compliance with GDPR and other applicable regulations. Special attention is paid to subcontractor management and international data transfers. The results demonstrate that a holistic approach, combining innovative technical solutions and robust governance, can effectively meet security and compliance requirements. The study also emphasizes the importance of continuous adaptation to technological and regulatory developments, offering concrete recommendations for organizations wishing to strengthen control of their data flows.<\/p>\n

Keywords<\/strong><\/h3>\n

Data flows, GDPR, Compliance<\/p>\n<\/div>

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