CRAISep 15, 2021

MPC-Friendly Commitments for Publicly Verifiable Covert Security

arXiv:2109.07461v29 citations
AI Analysis

This work addresses the need for efficient commitment verification in secure multiparty computation, particularly for scenarios where reputational harm deters cheating, representing a domain-specific incremental improvement.

The paper tackles the problem of efficiently verifying commitments in two-party secure computation under the publicly verifiable covert (PVC) security model, resulting in constructions for Boolean circuits that are 60× faster and use 36× less communication than baseline methods.

We address the problem of efficiently verifying a commitment in a two-party computation. This addresses the scenario where a party P1 commits to a value $x$ to be used in a subsequent secure computation with another party P2 that wants to receive assurance that P1 did not cheat, i.e. that $x$ was indeed the value inputted into the secure computation. Our constructions operate in the publicly verifiable covert (PVC) security model, which is a relaxation of the malicious model of MPC appropriate in settings where P1 faces a reputational harm if caught cheating. We introduce the notion of PVC commitment scheme and indexed hash functions to build commitments schemes tailored to the PVC framework, and propose constructions for both arithmetic and Boolean circuits that result in very efficient circuits. From a practical standpoint, our constructions for Boolean circuits are $60\times$ faster to evaluate securely, and use $36\times$ less communication than baseline methods based on hashing. Moreover, we show that our constructions are tight in terms of required non-linear operations, by proving lower bounds on the nonlinear gate count of commitment verification circuits. Finally, we present a technique to amplify the security properties our constructions that allows to efficiently recover malicious guarantees with statistical security.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes