Blockchain-based Outsourced Secure Multi-party Privacy-preserving Verifiable Computation Scheme
With the increasing demand for data privacy protection, outsourcing secure multi-party privacy intersection is faced with the dual challenges of privacy leakage and computational credibility verification. This paper proposes a blockchain-based secure multi-party privacy intersection verifiable computing scheme, which achieves the synergistic enhancement of privacy protection and computational credibility by integrating Paillier encryption algorithm, DH protocol key negotiation, HMAC-RSA authentication, Shamir secret sharing, AES encryption and zero-knowledge proof. In view of the core requirements of verifiable computing, zero-knowledge proof technology is introduced and verification logic is automatically executed through smart contracts to ensure that the calculation results are accurate and cannot be tampered with. In view of the credibility of computing nodes, a dynamic reward and punishment mechanism based on trust function and utility function is designed to constrain the honest behavior of computing parties through economic incentives. The experimental results verify the effectiveness of the scheme.