Digital Twins (DTs) are increasingly adopted in healthcare to enable real-time patient monitoring, predictive analytics, and decision support. However, their deployment relies on highly distributed and heterogeneous infrastructures, where sensitive medical data are continuously exchanged across multiple components. This raises critical challenges for secure data governance, including the protection of data across its lifecycle, compliance with regulatory frameworks, and interoperability among existing systems. Despite the growing body of research on healthcare DTs, existing approaches lack a systematic integration of security, privacy, and compliance mechanisms within a unified architectural model. In particular, no reference architecture currently addresses security concerns across data in transit, at rest, and in use in a comprehensive and reusable manner. In this paper, we address this gap by proposing a security-by-design reference architecture for data governance in healthcare Digital Twins. The architecture is derived through a combined research-driven and threat-driven methodology, explicitly linking requirements to data lifecycle threats and to relevant standards (e.g., GDPR, HIPAA, ISO). To assess feasibility, we implement a prototype based on a microservices architecture and evaluate it in a representative healthcare scenario. The results show how the proposed solution supports secure data management across data in transit, at rest, and in use, while preserving interoperability and compliance. It can thus be considered as a practical and reusable foundation for secure data governance in healthcare DTs.

Security-by-Design Reference Architecture for Data Governance in Healthcare Digital Twins / C. Braghin, S.C. - In: Proceedings SECRYPT 2026[s.l] : Scitepress, 2026. - ISBN 9789897588587. - pp. 556-567 (( 23. International Conference on Security and Cryptography : July, 16th - 18th Porto (Portugal) 2026 [10.5220/0015194900004103].

Security-by-Design Reference Architecture for Data Governance in Healthcare Digital Twins

C. Braghin
Primo
Membro del Collaboration Group
;
S. Cimato
Secondo
Membro del Collaboration Group
;
E. Riccobene
Ultimo
Membro del Collaboration Group
2026

Abstract

Digital Twins (DTs) are increasingly adopted in healthcare to enable real-time patient monitoring, predictive analytics, and decision support. However, their deployment relies on highly distributed and heterogeneous infrastructures, where sensitive medical data are continuously exchanged across multiple components. This raises critical challenges for secure data governance, including the protection of data across its lifecycle, compliance with regulatory frameworks, and interoperability among existing systems. Despite the growing body of research on healthcare DTs, existing approaches lack a systematic integration of security, privacy, and compliance mechanisms within a unified architectural model. In particular, no reference architecture currently addresses security concerns across data in transit, at rest, and in use in a comprehensive and reusable manner. In this paper, we address this gap by proposing a security-by-design reference architecture for data governance in healthcare Digital Twins. The architecture is derived through a combined research-driven and threat-driven methodology, explicitly linking requirements to data lifecycle threats and to relevant standards (e.g., GDPR, HIPAA, ISO). To assess feasibility, we implement a prototype based on a microservices architecture and evaluate it in a representative healthcare scenario. The results show how the proposed solution supports secure data management across data in transit, at rest, and in use, while preserving interoperability and compliance. It can thus be considered as a practical and reusable foundation for secure data governance in healthcare DTs.
Digital Twins; Healthcare Security; Data Governance; Security-by-Design;
Settore INFO-01/A - Informatica
   SEcurity and RIghts in the CyberSpace (SERICS)
   SERICS
   MINISTERO DELL'UNIVERSITA' E DELLA RICERCA
   codice identificativo PE00000014

   SAFEST: Trust assurance of Digital Twins for medical cyber-physical systems
   SAFEST
   MINISTERO DELL'UNIVERSITA' E DELLA RICERCA
   20224AJBLJ_002
2026
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1274700
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