Paper 2021/475 Original: eprint.iacr.org/2021/475 ↗
Private Liquidity Matching using MPC
Abstract
Many central banks, as well as blockchain systems, are looking into distributed versions of interbank payment systems, in particular the netting procedure. When executed in a distributed manner this presents a number of privacy problems. This paper studies a privacy preserving netting protocol to solve the gridlock resolution problem in such Real Time Gross Settlement systems. Our solution utilizes Multi-party Computation and is implemented in the SCALE MAMBA system, using Shamir secret sharing scheme over three parties in an actively secure manner. Our experiments show that, even for large throughput systems, such a privacy preserving operation is often feasible.
Metadata
- Available format(s)
PDF- Category
- Applications
- Publication info
- Preprint.
- History
- 2021-11-18: last updated
- 2021-04-15: published
- Short URL
- https://ia.cr/2021/475
- License
- https://creativecommons.org/licenses/by/4.0/
BibTeX
@misc{cryptoeprint:2021/475,
author = {Shahla Atapoor and Nigel P. Smart and Younes Talibi Alaoui},
title = {Private Liquidity Matching using MPC},
howpublished = {Cryptology {ePrint} Archive, Paper 2021/475},
year = {2021},
url = {https://eprint.iacr.org/2021/475}
}