Paper 2020/1599
Function Secret Sharing for PSI-CA: With Applications to Private Contact Tracing
Samuel Dittmer, Yuval Ishai, Steve Lu, Rafail Ostrovsky, Mohamed Elsabagh, Nikolaos Kiourtis, Brian Schulte, and Angelos Stavrou
Abstract
In this work we describe a token-based solution to Contact Tracing via Distributed Point Functions (DPF) and, more generally, Function Secret Sharing (FSS). The key idea behind the solution is that FSS natively supports secure keyword search on raw sets of keywords without a need for processing the keyword sets via a data structure for set membership. Furthermore, the FSS functionality enables adding up numerical payloads associated with multiple matches without additional interaction. These features make FSS an attractive tool for lightweight privacy-preserving searching on a database of tokens belonging to infected individuals.
Metadata
- Available format(s)
-
PDF
- Category
- Cryptographic protocols
- Publication info
- Preprint. MINOR revision.
- Keywords
- Private Set IntersectionContact TracingFunction Secret SharingPrivate Aggregation
- Contact author(s)
- steve @ stealthsoftwareinc com
- History
- 2020-12-24: received
- Short URL
- https://ia.cr/2020/1599
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2020/1599,
author = {Samuel Dittmer and Yuval Ishai and Steve Lu and Rafail Ostrovsky and Mohamed Elsabagh and Nikolaos Kiourtis and Brian Schulte and Angelos Stavrou},
title = {Function Secret Sharing for {PSI}-{CA}: With Applications to Private Contact Tracing},
howpublished = {Cryptology {ePrint} Archive, Paper 2020/1599},
year = {2020},
url = {https://eprint.iacr.org/2020/1599}
}
