Paper 2024/972

Efficient Secure Communication Over Dynamic Incomplete Networks With Minimal Connectivity

Ivan Damgård, Aarhus University
Divya Ravi, University of Amsterdam
Lawrence Roy, Aarhus University
Daniel Tschudi, Concordium
Sophia Yakoubov, Aarhus University
Abstract

We study the problem of implementing unconditionally secure reliable and private communication (and hence secure computation) in dynamic incomplete networks. Our model assumes that the network is always $k$-connected, for some $k$, but the concrete connection graph is adversarially chosen in each round of interaction. We show that, with $n$ players and $t$ malicious corruptions, perfectly secure communication is possible if and only if $k > 2t$. This disproves a conjecture from earlier work, that $k> 3t$ is necessary. Our new protocols are much more efficient than previous work; in particular, we improve the round and communication complexity by an exponential factor (in $n$) in both the semi-honest and the malicious corruption setting, leading to protocols with polynomial complexity.

Metadata
Available format(s)
PDF
Category
Cryptographic protocols
Publication info
Preprint.
Keywords
dynamic graphsreliable communicationprivate communicationsecret sharing
Contact author(s)
ivan @ cs au dk
d ravi @ uva nl
lance roy @ cs au dk
dt @ concordium com
sophia yakoubov @ cs au dk
History
2024-06-17: approved
2024-06-16: received
See all versions
Short URL
https://ia.cr/2024/972
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2024/972,
      author = {Ivan Damgård and Divya Ravi and Lawrence Roy and Daniel Tschudi and Sophia Yakoubov},
      title = {Efficient Secure Communication Over Dynamic Incomplete Networks With Minimal Connectivity},
      howpublished = {Cryptology ePrint Archive, Paper 2024/972},
      year = {2024},
      note = {\url{https://eprint.iacr.org/2024/972}},
      url = {https://eprint.iacr.org/2024/972}
}
Note: In order to protect the privacy of readers, eprint.iacr.org does not use cookies or embedded third party content.