摘要
信息技术的飞速发展在释放数据红利的同时也加速了数据孤岛的形成。在隐私安全的前提下提升数据价值,已经成为了迫切的现实需求。安全多方计算是一项以密码学为基础的隐私计算技术,在数据隐私保护及数据价值流通领域具有广阔的应用空间。从全球数据安全背景及隐私计算入手,提出了安全多方计算技术架构,并梳理了安全多方计算产品设计思路,给出安全多方计算行业应用场景,最后总结了安全多方计算应用思路,助力安全多方计算从理论走向实践。
The rapid development of information technology not only releases the data dividend,but also accelerates the formation of data islands.How to improve the value of data on the premise of privacy security has become an urgent reality issue.Secure multi-party computing is a privacy preserving computing technology based on cryptography,which has broad application space for data privacy protection and data value circulation.Starting from the global data security background and privacy preserving computing,this paper proposes a secure multi-party computing technology architecture,proposes the design ideas of secure multi-party computing products,gives the application scenarios of secure multi-party computing in different industries,and finally summarizes the application thinking of secure multi-party computing,so as to help secure multi-party computing move from theory to practice.
作者
张舒黎
邓春华
胡松
王中武
石元兵
ZHANG Shuli;Deng Chunhua;Hu Song;Wang Zhongwu;Shi Yuanbing(Chengdu Westone Information Industry INC.,Chengdu Sichuan 610041,China)
出处
《通信技术》
2021年第9期2182-2189,共8页
Communications Technology
关键词
安全多方计算
隐私计算
联邦学习
密码学
行业应用
secure multi-party computation
privacy preserving computation
federal learning
cryptography
industry application