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Paper: Almost-everywhere Secure Computation

Authors:
Juan A. Garay
Rafail Ostrovsky
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URL: http://eprint.iacr.org/2007/394
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Abstract: Secure multi-party computation (MPC) is a central problem in cryptography. Unfortunately, it is well known that MPC is possible if and only if the underlying communication network has very large connectivity---specifically, $\Omega(t)$, where $t$ is the number of potential corruptions in the network. This impossibility result renders existing MPC results far less applicable in practice, since most deployed networks have in fact a very small degree. In this paper, we show how to circumvent this impossibility result and achieve meaningful security guarantees for graphs with small degree (such as expander graphs and several other topologies). In fact, the notion we introduce, which we call {\em almost-everywhere MPC}, building on the notion of almost-everywhere agreement due to Dwork, Peleg, Pippenger and Upfal, allows the degree of the network to be much smaller than the total number of allowed corruptions. In essence, our definition allows the adversary to {\em implicitly} wiretap some of the good nodes by corrupting sufficiently many nodes in the ``neighborhood'' of those nodes. We show protocols that satisfy our new definition, retaining both correctness and privacy for most nodes despite small connectivity, no matter how the adversary chooses his corruptions. Instrumental in our constructions is a new model and protocol for the {\em secure message transmission} (SMT) problem, which we call {\em SMT by public discussion}, and which we use for the establishment of pairwise secure channels in limited connectivity networks.
BibTeX
@misc{eprint-2007-13674,
  title={Almost-everywhere Secure Computation},
  booktitle={IACR Eprint archive},
  keywords={cryptographic protocols / Secure multi-party computation, almost-everywhere agreement, secure message transmission, expander graphs, bounded-degree networks.},
  url={http://eprint.iacr.org/2007/394},
  note={ garay@research.bell-labs.com 13797 received 10 Oct 2007},
  author={Juan A. Garay and Rafail Ostrovsky},
  year=2007
}