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Tracing Effects of Covid-19 Over Small and Medium Enterprises

Riccardo Bonazzi orcid.org/0000-0002-6838-5926 ; University of Applied Sciences Western Switzerland (HES-SO)
Francesco Maria Cimmino ; University of Applied Sciences Western Switzerland (HES-SO)
Jean-Luc Beuchat ; University of Applied Sciences Western Switzerland (HES-SO)
Fanny Vérolet ; University of Applied Sciences Western Switzerland (HES-SO)

Sažetak

In this paper, we describe an ongoing project to assess the liquidity risk of small and medium enterprises (SMEs) in a network. In doing so we try to mimic the tracing applications that have been done to Covid-19. We built a simple artefact under the shape of a method called LUC (Liquidity for Unstructured Collaborations) to (1) collect data that has been encrypted by using multiple keys, (2) store the data in a shared ledger and (3) extract the required information concerning the credit risk of each user while respecting the conditions for the zero-knowledge proof. We see this solution as well-adapted for firms performing unstructured collaboration and we see our service as complementary concerning a trusted company, in the same way, the Covid-19 tracing application collects weak signals and then send patients to doctors for official testing.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Ključne riječi

Hrčak ID:

250932

URI

https://hrcak.srce.hr/250932

Datum izdavanja:

22.9.2020.

Posjeta: 336 *