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.…


| Author: | Johanna SchwinnORCiD, Hendrik Ballhausen, Seyedmostafa SheikhalishahiORCiD, Matthaeus MorhartORCiD, Mathias KasparORCiD, Ludwig Christian HinskeORCiDGND |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-1210300 |
| Frontdoor URL | https://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): | CC-BY-NC 4.0: Creative Commons: Namensnennung - Nicht kommerziell (mit Print on Demand) |




