A Trusted Secret Sharing Method for Industrial Internet Based on Secure Multi-Party Computation

Aiming at the problem of secure sharing of edge-side privacy data under the industrial Internet architecture, a trusted secret sharing method based on secure multi-party computation is proposed. This method converts the private data exchange problem between edge devices into a secure multi-party computing feedback control problem, and uses technologies such as Pedersen commitment, Shamir secret sharing, Beaver triplet, SM2 asymmetric encryption, and alliance chain to build a A publicly verifiable private data secret sharing protocol that combines on-chain audit verification and off-chain secure multi-party computation enables secure sharing of private data between edge devices. After security analysis and performance testing, in terms of security, the design can effectively resist common network threats and ensure the security requirements for data sharing of industrial Internet edge devices. In terms of performance overhead, this design controls the task overhead of secure data sharing within a reasonable and acceptable range through on-chain and off-chain cooperation, ensuring the effectiveness of this method in the industrial Internet.