基于区块链的外包安全多方统计计算可验证隐私保护方案
Blockchain-based Outsourcing Secure Multi-party Statistical Computation Verifiable Privacy Protection Scheme
夏虎 1田雯 1高建彬 1张天义 1高然 1夏琦1
作者信息
- 1. 电子科技大学计算机科学与工程学院,四川成都 611731
- 折叠
摘要
安全多方求和/乘积是安全多方计算(Secure Multi-Party Computation,MPC)的一种典型问题,近年来在智能电网、电子投票和联合征信等场景中有诸多应用.如何实现数据隐私保护是安全多方求和/乘积计算应用领域的一个关键性问题.针对此问题,引入了区块链构建可信数据共享环境,以此为基础结合可验证秘密共享协议设计了简单可行的基于区块链的外包安全多方统计计算可验证隐私保护方案.应用实例证明了方案的安全性和可行性,理论分析和实验测试表明该方案可实现安全多方统计计算过程中数据的可验证隐私保护,且较Feldman方案在数据验证过程中有更小的计算开销.
Abstract
Secure multi-party summation/product is a typical problem of Secure Multi-Party Computation(MPC),which has been widely applied in smart power grid,electronic voting,joint credit investigation and other scenarios in recent years.How to protect data privacy is a key problem in secure multi-party summation/product computation applications.In order to solve this problem,the blockchain is introduced to build a trusted data sharing environment.Based on this,combined with verifiable secret sharing protocol,a simple and feasible privacy protection scheme for outsourced secure multi-party statistical computing based on blockchain is designed.The security and feasibility of the scheme are proved by the application example.Theoretical analysis and experimental tests show that the scheme can realize the verifiable privacy protection of data in the secure multi-party statistical computation process,and has lower computational overhead than that of Feldman scheme in the data verification process.
关键词
区块链/安全多方计算/智能合约/隐私保护/秘密共享Key words
blockchain/MPC/smart contracts/privacy protection/secret sharing引用本文复制引用
基金项目
国家自然科学基金(U22B2029)
四川省科技计划(2023JDRC0001)
基础加强计划技术领域基金(2021-JCJQ-JJ-0463)
出版年
2024
国家科技期刊平台
NSTL
万方数据