基于隐私计算技术的数据安全共享交互框架  

A data security sharing and interaction framework based on privacy computing technology

作　　者：张鹏[1] 李美鹏 郭兆中 刘文杰[1] 孙立群 Zhang Peng;Li Meipeng;Guo Zhaozhong;Liu Wenjie;Sun Liqun(Unit 96941 of PLA,Beijing 100080,China;Tianhe Guoyun Technology Co.,Ltd.,Changsha 410000,China)

机构地区：[1]中国人民解放军96941部队,北京100080 [2]湖南天河国云科技有限公司,湖南长沙410000

出　　处：《网络安全与数据治理》2023年第12期54-59,共6页CYBER SECURITY AND DATA GOVERNANCE

摘　　要：隐私计算作为一种数据安全交互解决手段,是由两个或多个参与方联合计算的技术和系统,参与方可以在不泄露各自数据的前提下通过协作对数据进行联合机器学习和分析,隐私计算可实现“数据可用不可见”“数据不动模型动”,具备强化数据安全合规性、确保隐私数据不泄露的能力,可以说是现阶段数据安全交互与敏感信息保护的“最优解”。围绕数据安全共享与协同应用,提出基于隐私计算技术的共享交互框架设计方案,结合业务实际分别给出技术架构和逻辑架构设计,分析关键技术和利弊,为数据的安全交互和开发利用提供解决思路。Privacy computing,as a solution for data security interaction,is a technology and system jointly calculated by two or more participants.Participants can collaborate to perform joint machine learning and analysis on data without disclosing their own data.Privacy computing can achieve"data availability and invisibility"and"data immutability",with the ability to strengthen data security compliance and ensure that private data is not leaked.It can be said that it is the"optimal solution"for current data security interaction and sensitive information protection.This article proposes a design scheme for a shared interaction platform based on privacy computing technology,focusing on data security sharing and collaborative applications.The technical architecture and logical architecture design are provided based on business practice,and key technologies and advantages and disadvantages are analyzed to provide solutions for secure data interaction and development utilization.

关 键 词：数据资源 隐私计算 共享交互 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]