摘要
数据作为关键生产要素和基础性战略资源,对经济高质量发展的驱动作用日益明显。隐私计算从技术上实现了“数据可用不可见”,但同时,隐私技术的应用还存在一定的技术与合规风险。本文简单介绍隐私计算的概念和体系,然后从隐私计算的应用实践场景出发,分析隐私计算的安全合规风险,最后立足于现阶段国内隐私计算发展现状,提出隐私计算发展与应用的解决方案,为开展隐私计算提供安全方面的建议与对策,帮助数据更好地流动与释放价值。
Privacy computing provides technical support for "data availability and invisibility", when data has become a factor of production. However, there are still many technical and compliance risks in the development and application of privacy computing. This paper briefl y introduces the concept and system of privacy computing, then analyzes the security and compliance risks of privacy computing from the application practice scenario of privacy computing, and fi nally puts forward the solutions for the development and application of privacy computing based on the current development status of domestic privacy computing, provide security suggestions and countermeasures for privacy computing, so as to help data fl ow better and release data value.
作者
温暖
李文琦
张琳
刘飞龙
常潇
WEN Nuan;LI Wen-qi;ZHANG Lin;LIU Fei-long;CHANG Xiao(China Mobile Group Co.,Ltd.,Beijing 100053,China;China Mobile Group Design Institute Co.,Ltd.,Beijing 100080,China)
出处
《电信工程技术与标准化》
2022年第12期64-68,共5页
Telecom Engineering Technics and Standardization
关键词
隐私计算
多方计算
用户授权
数据安全风险
privacy computing
multi-party computing
user authorization
data security risk
