Academic connotation and research trends of privacy computing

Fenghua LI; Hui LI; Ben NIU; Weidong QIU

doi:10.11959/j.issn.2096-109x.2022078

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Academic connotation and research trends of privacy computing

Perspective | 更新时间：2024-06-03

- Academic connotation and research trends of privacy computing
- Chinese Journal of Network and Information Security Vol. 8, Issue 6, Pages: 1-8(2022)
- 作者机构：
  
  1. 中国科学院信息工程研究所，北京 100085
  2. 西安电子科技大学网络与信息安全学院，陕西西安 710126
  3. 上海交通大学网络空间安全学院，上海 200240
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-109x.2022078
  CLC： TP309
- Online First：2022-12，
  
  Published：15 December 2022
- 稿件说明：
移动端阅览
Fenghua LI, Hui LI, Ben NIU, et al. Academic connotation and research trends of privacy computing[J]. Chinese Journal of Network and Information Security, 2022, 8(6): 1-8.
DOI：

Fenghua LI, Hui LI, Ben NIU, et al. Academic connotation and research trends of privacy computing[J]. Chinese Journal of Network and Information Security, 2022, 8(6): 1-8. DOI： 10.11959/j.issn.2096-109x.2022078.

摘要

笔者在国际上率先提出隐私计算的概念、定义及学术内涵，并形成了较为成熟的理论与技术体系。为了持续推动隐私计算的学术研究和产业应用，详细诠释了隐私计算的学术内涵，包括如何理解全生命周期、延伸控制、隐私量化与映射、脱敏效果评估，为什么要做迭代按需脱敏、为什么要研究隐私计算语言以及自存证在泛在共享中的作用等，并对一些被曲解的学术概念予以澄清；给出了隐私计算九大方面37个研究点，以及数据安全八大方面40个研究点，并从18个维度将隐私计算与数据安全等技术进行了全面对比，以帮助读者更好地理解隐私计算的研究范畴，正确区分隐私计算与数据安全。

Abstract

The authors of this paper first proposed the concept

definition and academic connotation of privacy computing

and formed a relatively mature theoretical and technical system accordingly.In order to continuously promote the academic research and industrial application of privacy computing

the academic connotation of privacy computing was elaborated

including how to understand the full-life cycle

extended control

privacy quantification and mapping

desensitization effect evaluation.Besides

the necessity of iterative on-demand desensitization and the motivation to study the language of privacy computing were presented.The role of audit log self-storage in ubiquitous sharing was explained and some distorted academic concepts were also clarified.Moreover

37 research points in 9 aspects of privacy computing and 40 research points in 8 aspects of data security were given.It helps to better understand the research scope of privacy computing and correctly distinguish between privacy computing and data security.

关键词

Keywords

references

李凤华 , 李晖 , 贾焰 , 等 . 隐私计算研究范畴及发展趋势 [J ] . 通信学报 , 2016 , 37 ( 4 ): 1 - 11 .

LI F H , LI H , JIA Y , et al . Privacy computing:concept,connotation and its research trend [J ] . Journal on Communications , 2016 , 37 ( 4 ): 1 - 11 .

LI F , HUI L , NIU B , et al . Privacy computing:concept,computing framework,and future development trends [J ] . Engineering , 2019 , 5 ( 6 ): 14 .

李凤华 , 李晖 , 牛犇 . 隐私计算理论与技术 [M ] . 北京 : 人民邮电出版社 , 2021 .

LI F H , LI H , NIU B . Privacy computing theory and technology [M ] . Beijing : Posts ＆ Telecom Press , 2021 .

尤为 . 专访李凤华：隐私数据共享和泄露间的矛盾永恒存在，隐私计算必将越来越成熟 [EB ] .

YOU W . Exclusive interview with Li Fenghua:the contradiction between private data sharing and disclosure is eternal,and private computing will become more and more mature [EB ] .

Gartner top strategic technology trends for 2021 [EB ] .

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