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Threat Modeling to Design a Decentralized Health Data Management Application

Erler, Christina 1; Hu, Shanshan 2; Danelski, Alexa; Stork, Wilhelm 3; Sunyaev, Ali 2; Gersch, Martin
1 FZI Forschungszentrum Informatik (FZI)
2 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)
3 Institut für Technik der Informationsverarbeitung (ITIV), Karlsruher Institut für Technologie (KIT)

Abstract:

Decentralized applications are increasingly recognized as efficient tools to overcome security challenges in the management of highly sensitive health information. However, research still lacks the understanding of how to address the complex security challenges in the design of health data management applications (HDMAs). In this study, we structurally analyzed security requirements of health data management systems to improve the efficiency of their design. We leveraged threat modeling to inform the design of HDMAs and proposed the system architecture accordingly to facilitate the security of interorganizational health data exchange. Our results contribute to the exaptation of threat modeling to the innovative design of decentralized applications for health data management and to the exploration of benefits of decentralization for healthcare.


Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Institut für Technik der Informationsverarbeitung (ITIV)
Publikationstyp Buchaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISBN: 978-3-031-33261-6
KITopen-ID: 1000162019
Erschienen in Information Technology and Systems – ICITS 2023. Vol.: 2. Ed.: Á. Rocha
Verlag Springer International Publishing
Seiten 443–455
Serie Lecture Notes in Networks and Systems ; 692
Vorab online veröffentlicht am 20.08.2023
Schlagwörter Data Security, Data Privacy, Threat Modeling, Self-Sovereign Identity, Decentralized Systems, Blockchain, Health Data Management Application
Nachgewiesen in Dimensions
Scopus
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