Privacy - Preserving Multi-Party Conditional Random Selection

Wüller, Stefan; Assadsolimani, Benjamin; Meyer, Ulrike; Forg, Fabian; Wetzel, Susanne

doi:10.1109/pst47121.2019.8949044

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De Nition 24 (G Crs-c : Conditional Random Selection With Ou...1

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2020

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“…Check [22]). Let each party P i (∀i ∈ P) hold two vectors U and V of length n. Let U be an encrypted indicator vector and let V be an encrypted value vector.…”

Section: De Nition 24 (G Crs-c : Conditional Random Selection With Ou...mentioning

confidence: 99%

A Privacy-Preserving Protocol for the Kidney Exchange Problem

Malte

Meyer

Wetzel

et al. 2020

Proceedings of the 19th Workshop on Privacy in the Electronic Society

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Kidney donations from living donors form an a ractive alternative to long waiting times on a list for a post-mortem donation. However, even if a living donor for a given patient is found, the donor's kidney might not meet the patient's medical requirements. If several patients are in this position, they may be able to exchange donors in a cyclic fashion. Current algorithmic approaches for determining such exchange cycles neglect the privacy requirements of donors and patients as they require their medical data to be centrally collected and evaluated. In this paper, we present the rst distributed privacy-preserving protocol for kidney exchange that ensures the correct computing of the exchange cycles while at the same time protecting the privacy of the patients' sensitive medical data. We prove correctness and security of the new protocol and evaluate its practical performance.

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“…Check [22]). Let each party P i (∀i ∈ P) hold two vectors U and V of length n. Let U be an encrypted indicator vector and let V be an encrypted value vector.…”

Section: De Nition 24 (G Crs-c : Conditional Random Selection With Ou...mentioning

confidence: 99%