信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2021, Vol. 47 ›› Issue (6): 12-18.doi: 10.12267/j.issn.2096-5931.2021.06.002

上一篇    下一篇

隐私计算产品评估体系

Privacy preserving computing product evaluation system

袁博, 王思源   

  1. 中国信息通信研究院云计算与大数据研究所,北京 100191
  • 出版日期:2021-06-15 发布日期:2021-07-15
  • 作者简介:
    袁博:中国信息通信研究院云计算与大数据研究所大数据与区块链部工程师,长期从事数字经济、数据流通、隐私计算等相关研究工作
    王思源:中国信息通信研究院云计算与大数据研究所大数据与区块链部助理工程师,主要从事大数据、数据流通、隐私计算等相关研究工作

YUAN Bo, WANG Siyuan   

  1. Cloud Computing & Big Data Research Institute, China Academy of Information and Communications Technology, Beijing 100191, China
  • Online:2021-06-15 Published:2021-07-15

摘要: 当前,隐私计算技术的可用性大大增强,使用场景逐渐丰富,隐私计算产品化程度逐步成熟,产品数量呈爆发式增长,产品类型也日趋丰富,隐私计算产业已逐步形成。作为新兴技术,使用者难以综合判定选择隐私计算产品,因此亟需建立统一的隐私计算产品规范和产品评估体系。在论述了隐私计算从前沿技术到落地产品的历程后,对隐私计算产品的现状进行了分析;结合实际工作,提出了一套隐私计算产品评估体系,并对隐私计算产品评估体系进行了展望。

关键词: 隐私计算, 多方安全计算, 联邦学习, 可信执行环境

Abstract: At present, the usability of privacy preserving computing technology is greatly enhanced, usage scenarios are gradually enriched, the degree of productization gradually matures, the number of products has exploded, and the types of products are becoming more abundant, and the privacy preserving computing industry is gradually taking shape. As an emerging technology, it is difficult for users to comprehensively determine the choice of privacy preserving computing products. Therefore, it is urgent to establish a unified privacy preserving computing product specification and product evaluation system. This article discusses the history of privacy preserving computing from cutting-edge technology to landing products, analyzes the current situation of privacy preserving computing products, and proposes a set of evaluation systems for privacy preserving computing products based on actual work, and looks forward to the future development.

Key words: privacy preserving computing, secure multi-party computation, federated learning, trusted execution environment