Computer Science – Data Structures and Algorithms
Scientific paper
2012-03-01
Computer Science
Data Structures and Algorithms
Scientific paper
We describe scalable algorithms for secure multiparty computation (SMPC). We assume a synchronous message passing communication model, but unlike most related work, we do not assume the existence of a broadcast channel. Our main result holds for the case where there are n players, of which a (1/3-\epsilon)-fraction are controlled by an adversary, for \epsilon, any positive constant. We describe a SMPC algorithm for this model that requires each player to send O((n+m)/n + \sqrt{n}) (where the O notation hides polylogarithmic factors) messages and perform O((n+m)/n + \sqrt{n}) computations to compute any function f, where m is the size of a circuit to compute f. We also consider a model where all players are selfish but rational. In this model, we describe a Nash equilibrium protocol that solve SMPC and requires each player to send O((n+m)/n) messages and perform O((n+m)/n) computations. These results significantly improve over past results for SMPC which require each player to send a number of bits and perform a number of computations that is \theta(nm).
Dani Varsha
King Valerie
Movahedi Mahnush
Saia Jared
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