一种基于区块链的泛用型数据隐私保护的安全多方计算协议

A Secure Multi-Party Computation Protocol for Universal Data Privacy Protection Based on Blockchain

近年来,如何合理有效地在区块链上实现用户隐私数据保护是区块链技术领域的一个关键性问题.针对此问题,设计出一种基于Pedersen承诺与Schnorr协议的安全多方计算协议(protocol of blockchain based on Pedersen commitment linked Schnorr protocol for multi-party computation,BPLSM).通过构筑该协议架构并进行形式化证明演算,表明了该协议能够融入区块链网络、能够在匿名情况下合并不同隐私消息并进行高效签署的特点.此外分析了协议的性质与安全性,证明了在区块链中应用BPLSM协议的泛用型隐私计算方案计算上的低算力开销,并具备良好的信息隐蔽性.最后对协议进行实验仿真,结果表明:在小范围人数固定的多方计算中,BPLSM协议验签的时间成本比当前主流的BLS签名节省约83.5%.

Recent years,how to protect user privacy data on the blockchain reasonably and efficiently is a key issue in the current blockchain technology field.Based on this,in this paper,a secure multi-party computation protocol is designed based on the Pedersen commitment and Schnorr protocol(protocol of blockchain based on Pedersen commitment linked schnorr protocol for multi-party computation,BPLSM).Through constructing the structure of the protocol and carrying out formal proof calculations,it is confirmed that the protocol can be integrated into the blockchain network to merge different private messages for efficient signing under anonymity.In addition,by analyzing the nature and security of the protocol,it can be proved that the overhead about computation of the general-purpose privacy computing scheme using the BPLSM protocol on the blockchain is low,and it also has strong information imperceptibility.In the end,experimental simulation results show that the time cost of BPLSM protocol verification in a small-scale multi-party transaction with a fixed number of people is about 83.5%lower than that of the current mainstream BLS signature.