Public Verifiable Privacy-Preserving Multi-Party Computation on Blockchain

Abstract

This paper introduces a novel framework for verifiable privacy-preserving computation on the blockchain, addressing the challenges of managing confidential transactions within the transparent and distributed ledger. The proposed framework leverages Secure Multi-Party Computation (MPC) and integrates it with blockchain technology to ensure both privacy and public verifiability of computation results. Notably, in our framework, the primary computation occurs off-chain to avoid the inefficiencies of smart contracts, while the results are uploaded to the blockchain for immutability and public verification. Furthermore, through the adoption of a zkRollup-like design and the selection of an efficient MPC algorithm, our framework demonstrates robust structural scalability and low communication complexity compared to other similar approaches.