摘要
近年来,作为数据安全流通的关键技术路径之一,隐私计算技术迅速发展,在金融、政务、医疗等场景广泛应用.然而,随着当前隐私计算技术产品的发展,不同系统架构或功能的隐私计算平台之间的跨平台互联互通问题逐渐受到关注,对隐私计算技术的规模落地应用提出了新的挑战.围绕这一关键问题,从概念内涵、实现路径、实践案例、标准规范等方面深入分析隐私计算互联互通的行业发展情况,并对其未来发展方向进行了深入探讨.
Abstract
In recent years,as one of the key technology paths for data secure circulation,privacy-preserving computing technology has developed rapidly,and it has been widely used in finance,government affairs,medical care,and other scenarios.However,with the development of current privacy-preserving computing technology products,the cross-platform interconnection between privacy-preserving computing platforms with different system architectures or functions has gradually attracted attention.This poses new challenges to the large-scale application of privacy-preserving computing technology.Focusing on this key issue,this paper deeply analyzes the industry's development from the perspectives of conceptual connotation,implementation path,practical cases,standards,and specifications.It also deeply discusses the future development direction of cross-platform interconnection.
国家科技期刊平台
NSTL
万方数据