基于多方安全计算的分布式数据隐私保护方案研究  

Research on the Privacy Protection Scheme for Distributed Data Based on Secure Multi-Party Computation

作　　者：乐凌宏 YUE Linghong(Ningbo Polytechnic,Ningbo Zhejiang 315800,China)

机构地区：[1]宁波职业技术学院,浙江宁波315800

出　　处：《信息与电脑》2025年第2期74-76,共3页Information & Computer

摘　　要：在数据广泛分布且共享需求渐长的当下,隐私保护成为关键挑战。研究专注于开发一种基于多方安全计算的分布式数据隐私保护方案。该方案采用分布式架构、数据预处理、多方安全计算协议、安全与隐私保障机制进行设计,并对方案的性能进行了评估与分析,论述了该方案的具体应用场景。此方案为分布式数据隐私保护提供了有效思路,为构建安全数据共享协作环境提供了参考。Privacy protection has become a key challenge in a time when data is widely distributed and the need for sharing is growing.The research focuses on developing a distributed data privacy protection scheme based on multiparty secure computing.The scheme is designed using distributed architecture,data preprocessing,multi-party secure computing protocol,security and privacy guarantee mechanism,and the performance of the scheme is evaluated and analyzed,and specific application scenarios of the scheme are discussed.This scheme provides an effective idea for distributed data privacy protection and a reference for building a secure data sharing and collaboration environment.

关 键 词：多方安全计算 分布式数据 隐私保护 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]