隐私计算与区块链在高校间数据共享的应用路径探索  

Exploring the Application Pathways of Privacy Computing and Blockchain in Data Sharing Among Universities

作　　者：廉康 刘力铭[1] 罗伟雄[1] LIAN Kang;LIU Liming;LUO Weixiong(Guangzhou City Polytechnic,Guangzhou Guangdong 510000)

机构地区：[1]广州城市职业学院,广东广州510000

出　　处：《软件》2025年第1期169-171,共3页Software

基　　金：广州城市职业学院青年项目“探索隐私计算在高职院校的应用路径”(KYQN2021034)。

摘　　要：随着教育行业数字化转型,数据共享的重要性日益凸显,但同时,数据安全和敏感数据保护也面临着挑战。本文探索了隐私计算和区块链技术在高校间数据共享中的应用路径,分析了高校数据共享面临的挑战,探讨了隐私计算中的多方安全计算、联邦学习和可信计算,以及区块链技术在数据共享中的作用,提出了一个包含基础设施层、数据服务层、隐私计算层、区块链层、应用层和运维管理层的数据共享平台框架。该框架旨在为高校提供一个安全、可靠的数据共享环境,以促进数据赋能教学的目标。With the digital transformation of the education industry,the importance of data sharing is becoming increasingly prominent,but at the same time,data security and sensitive data protection are also facing challenges.This article explores the application paths of privacy computing and blockchain technology in data sharing among universities,analyzes the challenges faced by university data sharing,explores multi-party secure computing,federated learning,and trusted computing in privacy computing,as well as the role of blockchain technology in data sharing.It proposes a data sharing platform framework that includes infrastructure layer,data service layer,privacy computing layer,blockchain layer,application layer,and operation and maintenance management layer.This framework aims to provide a secure and reliable data sharing environment for universities to promote the goal of empowering teaching with data.

关 键 词：隐私计算 区块链 高校 数据共享 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]