生物医学大数据中的隐私计算  

Privacy-preserving Computing in Biomedical Big Data

作　　者：辛均益 陈如梵 王林[3] 唐丹叶 孙琪 沈涛 王爽 XIN Junyi;CHEN Rufan;WANG Lin;TANG Danye;SUN Qi;SHEN Tao;WANG Shuang(Hangzhou Medical College,Hangzhou 310059,China;Hangzhou Nuowei Information Technology Co.Ltd.,Hangzhou 310053,China;Jinan University,Jinan 250022,China;CAIQTEST Group,Beijing 100176,China;West China Hospital,Sichuan University,Chengdu 610041,China)

机构地区：[1]杭州医学院,杭州310059 [2]杭州锘崴信息科技有限公司,杭州310053 [3]济南大学,济南250022 [4]检科测试集团有限公司,北京100176 [5]四川大学华西医院,成都610041

出　　处：《医学信息学杂志》2022年第10期2-7,共6页Journal of Medical Informatics

摘　　要：分析生物医学数据流通难点、传统隐私保护手段缺陷,介绍隐私计算优势及其主流技术路线,阐述生物医学中隐私计算的典型应用场景和有关案例,为该领域相关研究提供参考。The paper analyzes the difficulties of biomedical data sharing and the defects of traditional privacy protection methods,introduces the advantages of privacy-preserving computing and its mainstream technology route,and expounds the typical application scenarios and related cases of privacy-preserving computing in the biomedical field,so as to provide references for related research in this field.

关 键 词：隐私计算 生物医学数据 数据流通 联邦学习 可信执行环境 

分 类 号：R-058[医药卫生]