摘要
医疗健康数据难以安全共享、开放与利用是阻碍当前卫生健康行业信息化发展的最重要因素之一。研究探讨了卫生健康行业在数据共享与利用的实际应用场景下面临的困境,提出了隐私计算在各应用场景下的应用方案,并根据实际需求给出了对应场景下隐私计算模型安全的建议。
Difficulty in safe sharing, openness and utilization of medical and health data is one of the most important factors hindering the development of informatization in the current health and health industry. This paper researches and discusses the difficulties faced by the health industry in the actual application scenarios of data sharing and utilization, proposes the application schemes of privacy computing in various application scenarios, and gives suggestions on the security of privacy computing models in corresponding scenarios according to actual needs.
作者
鞠鑫
曹京
陈佛忠
刘文懋
胡忠华
JU Xin;CAO Jing;CHEN Fozhong;LIU Wenmao;HU Zhonghua(Health and Family Planning Statistics Information Center of Suzhou,Suzhou 215002,China;Security Research Institute,China Academy of Information and Communications Technology,Beijing 100191,China;NSFOCUS Technologies,Inc.,Beijing 100089,China)
出处
《信息通信技术与政策》
2023年第2期43-48,共6页
Information and Communications Technology and Policy
关键词
隐私计算
数据安全
联邦学习
模型安全
可信执行环境
privacy computing
data security
federated learning
model security
trusted execution environment