摘要
随着大数据和云计算的发展,数据管理正在打破“数据孤岛”,从面向单域的孤立服务发展到跨域的数据共享与协同服务。基于公共数据授权运营框架,给出了跨域数据授权运营全链路结构,并探讨了跨域数据加工过程中数据隐私和效率的挑战。针对这些挑战,提出了集中式和隐私计算两种数据加工模式,能够在保护数据隐私的同时提高数据加工效率。最后,给出了一个实际场景下跨域数据授权运营平台的应用案例。
With the development of big data and cloud computing,data management is breaking down"data silos"and developing from isolated services for single domain to cross-domain data sharing and collaborative services.Based on the public data authorization and operation framework,this paper presented the full-link structure of cross-domain data authorization and operation,and discussed the challenges of data privacy and efficiency in the cross-domain data processing.In response to these challenges,two data processing models,centralized and privacy computing,were proposed,which could improve data processing efficiency while protecting data privacy.Finally,an application case of a cross-domain data authorization operation platform in a practical scenario was given.
作者
张纪林
顾小卫
张亦钊
郑小林
陈超超
ZHANG Jilin;GU Xiaowei;ZHANG Yizhao;ZHENG Xiaolin;CHEN Chaochao(Zhejiang Big Data Development Administration,Hangzhou 310007,China;Office of the Zhejiang Cyberspace Affairs Commission,Hangzhou 310007,China;College of Computer Science and Technology,Zhejiang University,Hangzhou 310027,China)
出处
《大数据》
2023年第4期83-97,共15页
Big Data Research
基金
国家自然科学基金资助项目(No.62172362)。
关键词
跨域数据管理
数据授权运营平台
集中式计算
隐私计算
cross-domain data management
data authorization&operation framework
centralized computing
privacy computing
