Birka, Timm ; Hamacher, Kay ; Kussel, Tobias ; Möllering, Helen ; Schneider, Thomas (2022)
SPIKE: secure and private investigation of the kidney exchange problem.
In: BMC medical informatics and decision making, 22 (1)
doi: 10.1186/s12911-022-01994-4
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
BACKGROUND
The kidney exchange problem (KEP) addresses the matching of patients in need for a replacement organ with compatible living donors. Ideally many medical institutions should participate in a matching program to increase the chance for successful matches. However, to fulfill legal requirements current systems use complicated policy-based data protection mechanisms that effectively exclude smaller medical facilities to participate. Employing secure multi-party computation (MPC) techniques provides a technical way to satisfy data protection requirements for highly sensitive personal health information while simultaneously reducing the regulatory burdens.
RESULTS
We have designed, implemented, and benchmarked SPIKE, a secure MPC-based privacy-preserving KEP protocol which computes a locally optimal solution by finding matching donor-recipient pairs in a graph structure. SPIKE matches 40 pairs in cycles of length 2 in less than 4 min and outperforms the previous state-of-the-art protocol by a factor of [Formula: see text] in runtime while providing medically more robust solutions.
CONCLUSIONS
We show how to solve the KEP in a robust and privacy-preserving manner achieving significantly more practical performance than the current state-of-the-art (Breuer et al., WPES'20 and CODASPY'22). The usage of MPC techniques fulfills many data protection requirements on a technical level, allowing smaller health care providers to directly participate in a kidney exchange with reduced legal processes. As sensitive data are not leaving the institutions' network boundaries, the patient data underlie a higher level of protection than in the currently employed (centralized) systems. Furthermore, due to reduced legal barriers, the proposed decentralized system might be simpler to implement in a transnational, intereuropean setting with mixed (national) data protecion laws.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Birka, Timm ; Hamacher, Kay ; Kussel, Tobias ; Möllering, Helen ; Schneider, Thomas |
| Art des Eintrags: | Bibliographie |
| Titel: | SPIKE: secure and private investigation of the kidney exchange problem |
| Sprache: | Englisch |
| Publikationsjahr: | 22 September 2022 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | BMC medical informatics and decision making |
| Jahrgang/Volume einer Zeitschrift: | 22 |
| (Heft-)Nummer: | 1 |
| DOI: | 10.1186/s12911-022-01994-4 |
| Kurzbeschreibung (Abstract): | BACKGROUND The kidney exchange problem (KEP) addresses the matching of patients in need for a replacement organ with compatible living donors. Ideally many medical institutions should participate in a matching program to increase the chance for successful matches. However, to fulfill legal requirements current systems use complicated policy-based data protection mechanisms that effectively exclude smaller medical facilities to participate. Employing secure multi-party computation (MPC) techniques provides a technical way to satisfy data protection requirements for highly sensitive personal health information while simultaneously reducing the regulatory burdens. RESULTS We have designed, implemented, and benchmarked SPIKE, a secure MPC-based privacy-preserving KEP protocol which computes a locally optimal solution by finding matching donor-recipient pairs in a graph structure. SPIKE matches 40 pairs in cycles of length 2 in less than 4 min and outperforms the previous state-of-the-art protocol by a factor of [Formula: see text] in runtime while providing medically more robust solutions. CONCLUSIONS We show how to solve the KEP in a robust and privacy-preserving manner achieving significantly more practical performance than the current state-of-the-art (Breuer et al., WPES'20 and CODASPY'22). The usage of MPC techniques fulfills many data protection requirements on a technical level, allowing smaller health care providers to directly participate in a kidney exchange with reduced legal processes. As sensitive data are not leaving the institutions' network boundaries, the patient data underlie a higher level of protection than in the currently employed (centralized) systems. Furthermore, due to reduced legal barriers, the proposed decentralized system might be simpler to implement in a transnational, intereuropean setting with mixed (national) data protecion laws. |
| ID-Nummer: | pmid:36138474 |
| Fachbereich(e)/-gebiet(e): | 10 Fachbereich Biologie 10 Fachbereich Biologie > Computational Biology and Simulation 20 Fachbereich Informatik 20 Fachbereich Informatik > Praktische Kryptographie und Privatheit |
| Hinterlegungsdatum: | 26 Sep 2022 12:25 |
| Letzte Änderung: | 06 Okt 2022 07:52 |
| PPN: | 499673824 |
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| Suche nach Titel in: | TUfind oder in Google |
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