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SPIKE: secure and private investigation of the kidney exchange problem

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
DFG-Sonderforschungsbereiche (inkl. Transregio)
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1119: CROSSING – Kryptographiebasierte Sicherheitslösungen als Grundlage für Vertrauen in heutigen und zukünftigen IT-Systemen
Hinterlegungsdatum: 26 Sep 2022 12:25
Letzte Änderung: 30 Jul 2024 10:20
PPN: 499673824
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