Efficient Multi-party Computation over Rings

Secure multi-party computation (MPC) is an active research area, and a wide range of literature can be found nowadays suggesting improvements and generalizations of existing protocols in various directions. However, all current techniques for secure MPC apply to functions that are represented by (boolean or arithmetic) circuits over finite fields. We are motivated by two limitations of these techniques: Generality. Existing protocols do not apply to computation over more general algebraic structures (except via a brute-force simulation of computation in these structures).Efficiency. The best known constant-round protocols do not efficiently scale even to the case of large finite fields.Our contribution goes in these two directions. First, we propose a basis for unconditionally secure MPC over an arbitrary ginite ring, an algebraic object with a much less nice structure than a field, and obtain efficient MPC protocols requiring only a black-box access to the ring operations and to random ring elements. Second, we extend these results to the constant-round setting, and suggest efficiency improvements that are relevant also for the important special case of fields. We demonstrate the usefulness of the above results by presenting a novel application of MPC over (non-field) rings to the round-efficient secure computation of the maximum function.