An Entropy-View Secure Multiparty Computation Protocol Based on Semi-Honest Model

Data interaction scenarios involving multiple parties in network communities have problems of trust, data security, and reliability the parties, secure multiparty computation(SMPC) can effectively solve these problems. To address security fairness issues SMPC, this study considers that semi-honest participants lead to deviations protocol, combines information entropy mutual present an n-round exchange protocol which each participant broadcasts a relevant value round without revealing other information. The uncertainty correct outcome is blurred by round, not sure until end prevents malicious behavior ensures execution protocol. Security analysis shows our guarantees relative output obtained after completing