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 ›› 2022, Vol. 48 ›› Issue (5): 45-52.doi: 10.12267/j.issn.2096-5931.2022.05.006

研究论文 上一篇    下一篇

隐私计算应用场景综述

Overview of privacy preserving computing application scenarios

贾轩1, 白玉真1, 马智华2   

  1. 1.中国信息通信研究院云计算与大数据研究所,北京 100191
    2.电信科学技术研究院,北京 100083
  • 收稿日期:2022-03-30 出版日期:2022-05-15 发布日期:2022-05-26
  • 作者简介:
    贾轩 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,主要从事大数据、数据流通、隐私计算等相关研究|白玉真 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,博士,主要从事大数据、数据流通、隐私计算等相关研究|马智华 电信科学技术研究院硕士研究生,主要研究方向为隐私计算技术等

JIA Xuan1, BAI Yuzhen1, MA Zhihua2   

  1. 1. Cloud Computing & Big Data Research Institute, China Academy of Information and Communications Technology, Beijing 100191, China
    2. Telecommunication Science and Technology Research Institute, Beijing 100083, China
  • Received:2022-03-30 Online:2022-05-15 Published:2022-05-26

摘要:

隐私计算技术在不获知其他参与方原始数据的情况下处理数据,保障数据在流通与融合过程中的“可用不可见”,成为数据安全合规流通的一种“技术解”,已被应用于数据密集型行业。通过隐私计算在金融、医疗、政务及新型场景中的典型应用,梳理相应应用范式,并提出问题与展望。

关键词: 隐私计算, 多方安全计算, 联邦学习, 隐私计算应用

Abstract:

Private preserving computing technology is a method to process data without knowing other participants’ original data. And private preserving computing technology ensures the “availability and invisibility” of data, which has become the technical solution for secure data circulation and has been applied in data-intensive industries. This paper introduces the typical applications of privacy preserving computing in finance, medical, government affairs and some innovative scenarios. Then, we summarize the corresponding application paradigm of these scenarios. In conclusion, we discuss the problems of privacy preserving computing application and analyze its future development trend.

Key words: privacy preserving computing, multi-party secure computing, federated learning, privacy preserving computing application

中图分类号: