Paper 2014/615

The Hidden Graph Model: Communication Locality and Optimal Resiliency with Adaptive Faults

Nishanth Chandran, Wutichai Chongchitmate, Juan A. Garay, Shafi Goldwasser, Rafail Ostrovsky, and Vassilis Zikas


Secure multi-party computation (MPC) has been thoroughly studied over the past decades. The vast majority of works assume a full communication pattern: every party exchanges messages with {\em all} the network participants over a complete network of point-to-point channels. This can be problematic in modern large scale networks, where the number of parties can be of the order of millions, as for example when computing on large distributed data. Motivated by the above observation, Boyle, Goldwasser, and Tessaro [TCC 2013] recently put forward the notion of {\em communication locality}, namely, the total number of point-to-point channels that each party uses in the protocol, as a quality metric of MPC protocols. They proved that assuming a public-key infrastructure (PKI) and a common reference string (CRS), an MPC protocol can be constructed for computing any $n$-party function, with communication locality $\bigo[\log^c n]$ and round complexity $\bigo[\log^{c'} n]$, for appropriate constants $c$ and $c'$. Their protocol tolerates a static (i.e., non-adaptive) adversary corrupting up to $t<(\frac{1}{3}-\epsilon)n$ parties for any given constant $0<\epsilon<\frac{1}{3}$. These results leave open the following questions: (1) Can we achieve low communication locality and round complexity while tolerating {\em adaptive} adversaries? \\ (2) Can we achieve low communication locality with {\em optimal resiliency} $t<n/2$? In this work we answer both questions affirmatively. First, we consider the model from [TCC 2013], where we replace the CRS with a symmetric-key infrastructure (SKI). In this model we give a protocol with communication locality and round complexity \polylog[n] (as in the [TCC~2013] work) which tolerates up to $t<n/2$ {\em adaptive} corruptions, under a standard intractability assumption for adaptively secure protocols, \vaddon{namely, the existence of enhanced trapdoor permutations and secure erasures.} This is done by using the SKI to derive a sequence of random {\it hidden communication graphs} among players. A central new technique then shows how to use these graphs to emulate a complete network in \polylog[n] rounds while preserving the \polylog[n] locality. Second, we show how we can even remove the SKI setup assumption at the cost, however, of increasing the communication locality (but not the round complexity) by a factor of~$\sqrt{n}$.

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Cryptographic protocols
Publication info
Published elsewhere. Minor revision. ITCS 2015
secure multi-party computationcommunication localityadaptive security
Contact author(s)
vassilis zikas @ gmail com
2018-07-06: last of 3 revisions
2014-08-13: received
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      author = {Nishanth Chandran and Wutichai Chongchitmate and Juan A.  Garay and Shafi Goldwasser and Rafail Ostrovsky and Vassilis Zikas},
      title = {The Hidden Graph Model: Communication Locality and Optimal Resiliency with Adaptive Faults},
      howpublished = {Cryptology ePrint Archive, Paper 2014/615},
      year = {2014},
      note = {\url{}},
      url = {}
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