License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.DISC.2020.44
URN: urn:nbn:de:0030-drops-131223
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2020/13122/
Choudhury, Ashish
Brief Announcement: Optimally-Resilient Unconditionally-Secure Asynchronous Multi-Party Computation Revisited
Abstract
In this paper, we present an optimally-resilient, unconditionally-secure asynchronous multi-party computation (AMPC) protocol for n parties, tolerating a computationally unbounded adversary, capable of corrupting up to t < n/3 parties. Our protocol needs a communication of ?(n⁴) field elements per multiplication gate. This is to be compared with previous best AMPC protocol (Patra et al, ICITS 2009) in the same setting, which needs a communication of ?(n⁵) field elements per multiplication gate. To design our protocol, we present a simple and highly efficient asynchronous verifiable secret-sharing (AVSS) protocol, which is of independent interest.
BibTeX - Entry
@InProceedings{choudhury:LIPIcs:2020:13122,
author = {Ashish Choudhury},
title = {{Brief Announcement: Optimally-Resilient Unconditionally-Secure Asynchronous Multi-Party Computation Revisited}},
booktitle = {34th International Symposium on Distributed Computing (DISC 2020)},
pages = {44:1--44:3},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-168-9},
ISSN = {1868-8969},
year = {2020},
volume = {179},
editor = {Hagit Attiya},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2020/13122},
URN = {urn:nbn:de:0030-drops-131223},
doi = {10.4230/LIPIcs.DISC.2020.44},
annote = {Keywords: Verifiable Secret-sharing, Secure MPC, Fault-tolerance, Byzantine faults, secret-sharing, unconditional-security, privacy}
}
Keywords: |
|
Verifiable Secret-sharing, Secure MPC, Fault-tolerance, Byzantine faults, secret-sharing, unconditional-security, privacy |
Collection: |
|
34th International Symposium on Distributed Computing (DISC 2020) |
Issue Date: |
|
2020 |
Date of publication: |
|
07.10.2020 |