Inproceedings3999

Threat Modeling to Design a Decentralized Health Data Management Application

Christina Erler, Shanshan Hu, Alexa Danelski, Wilhelm Stork, Ali Sunyaev, Martin Gersch

Published: 2023 August

Buchtitel: Information Technology and Systems
Ausgabe: 2
Seiten: 443–455
Verlag: Springer International Publishing

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BibTeX

Kurzfassung
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.

ISBN: 978-3-031-33261-6
Weitere Informationen unter: Link
DOI Link: 10.1007/978-3-031-33261-6_38

Forschungsgruppe

Critical Information Infrastructures

Forschungsgebiet

Health IT Applications