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
刘峰1，3，杨杰3，李志斌 2*，齐佳音3*
（1华东师范大学 计算机科学与技术学院，上海，200062； 2华东师范大学 数据科学与工程学院，上海，200062；3上海对外经贸大学人工智能与变革管理研究院，上海，36；）
摘要
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，本研究设计出一种基于Pedersen承诺与Schnorr协议的安全多方计算协议(protocol of blockchain based pedersen link schnorr for multi-party computation，BPLSM)，能够融入区块链网络在匿名情况下合并不同隐私消息进行高效签署.通过形式化证明演算，确定了在区块链中应用BPLSM协议的泛用型隐私计算方案在计算存储上的低开销.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BPLS协议验签的时间成本比当前主流的BLS签名节省约83.5%. 新协议对区块链融合安全多方计算、推动安全高效的数据隐私保护有积极推动作用.
A Secure Multi-party Computation Protocol for Universal Data Privacy Protection based on Blockchain
LIU Feng1,2，YANG Jie2，Qi Jiayin2，LI Zhibin3*
(1School of Computer Science and Technology, East China Normal University, Shanghai, 200062; 2Institute of Artificial Intelligence and Change Management, Shanghai University of International Business and Economics, Shanghai, 36; 3School of Data Science and Engineering, East China Normal University, Shanghai, 200062)
Abstract：
In 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, this paper designs a secure multi-party computation protocol based on the Pedersen commitment and Schnorr protocol(protocol of blockchain based pedersen link schnorr for multi-party computation, BPLSM), which can be integrated into the blockchain network to merge different private messages for efficient signing under anonymity. Through formal proof calculus, the low overhead about computation and storage of the general-purpose privacy computing solution that merges the protocol into the blockchain is determined. 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. Meanwhile, through experimental simulation, the results prove that the privacy calculation scheme is safe and usable under the semi-honest model with a small number of signers, and it can reduce 83.5% computational time overhead compared to BLS signature under the same verification conditions. This research provides a new way to achieve safe and efficient data privacy protection on blockchain combined security multi-party computation. The new protocol has a positive promotion on blockchain combined security multi-party computation, safe and efficient data privacy protection.
Key words blockchain; privacy computing; secure muti-party computation; pedersen commitment; schnorr signature; BLS signature
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