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Simplifying multiparty computation: a client-driven metaprotocol for federated secure computing

  • Introduction: Secure Multi-Party Computation (SMPC) offers a powerful tool for collaborative healthcare research while preserving patient data privacy. State of the art: However, existing SMPC frameworks often require separate executions for each desired computation and measurement period, limiting user flexibility. Concept. This research explores the potential of a client-driven metaprotocol for the Federated Secure Computing (FSC) framework and its SImple Multiparty ComputatiON (SIMON) protocol as a step towards more flexible SMPC solutions. Implementation: This client-driven metaprotocol empowers users to specify and execute multiple calculations across diverse measurement periods within a single client-side code execution. This eliminates the need for repeated code executions and streamlines the analysis process. The metaprotocol offers a user-friendly interface, enabling researchers with limited cryptography expertise to leverage the power of SMPC for complex healthcareIntroduction: Secure Multi-Party Computation (SMPC) offers a powerful tool for collaborative healthcare research while preserving patient data privacy. State of the art: However, existing SMPC frameworks often require separate executions for each desired computation and measurement period, limiting user flexibility. Concept. This research explores the potential of a client-driven metaprotocol for the Federated Secure Computing (FSC) framework and its SImple Multiparty ComputatiON (SIMON) protocol as a step towards more flexible SMPC solutions. Implementation: This client-driven metaprotocol empowers users to specify and execute multiple calculations across diverse measurement periods within a single client-side code execution. This eliminates the need for repeated code executions and streamlines the analysis process. The metaprotocol offers a user-friendly interface, enabling researchers with limited cryptography expertise to leverage the power of SMPC for complex healthcare analyses. Lessons learned: We evaluate the performance of the client-driven metaprotocol against a baseline iterative approach. Our evaluation demonstrates performance improvements compared to traditional iterative approaches, making this metaprotocol a valuable tool for advancing secure and efficient collaborative healthcare research.show moreshow less

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Metadaten
Author:Johanna SchwinnORCiD, Hendrik Ballhausen, Seyedmostafa SheikhalishahiORCiD, Matthaeus MorhartORCiD, Mathias KasparORCiD, Ludwig Christian HinskeORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1210300
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/121030
ISBN:9781643685366OPAC
ISSN:0926-9630OPAC
ISSN:1879-8365OPAC
Parent Title (English):German Medical Data Sciences 2024: Health – Thinking, Researching and Acting Together; proceedings of the 69th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) 2024 in Dresden, Germany
Publisher:IOS Press
Place of publication:Amsterdam
Editor:Rainer Röhrig, Niels Grabe, Ursula Hertha Hübner, Klaus Jung, Ulrich Sax, Carsten Oliver Schmidt, Martin Sedlmayr, Antonia Zapf
Type:Part of a Book
Language:English
Year of first Publication:2024
Publishing Institution:Universität Augsburg
Release Date:2025/04/10
First Page:244
Last Page:250
Series:Studies in Health Technology and Informatics ; 317
DOI:https://doi.org/10.3233/shti240863
Institutes:Medizinische Fakultät
Medizinische Fakultät / Universitätsklinikum
Medizinische Fakultät / Lehrstuhl für Datenmanagement und Clinical Decision Support
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):License LogoCC-BY-NC 4.0: Creative Commons: Namensnennung - Nicht kommerziell (mit Print on Demand)