Survey on privacy protection in non-aggregated data sharing

Youhuizi LI; Yuyu YIN; Honghao GAO; Yi JIN; Xinheng WANG

doi:10.11959/j.issn.1000-436x.2021120

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Survey on privacy protection in non-aggregated data sharing

Comprehensive Review | 更新时间：2024-06-05

- Survey on privacy protection in non-aggregated data sharing
- Journal on Communications Vol. 42, Issue 6, Pages: 195-212(2021)
- 作者机构：
  
  1. 杭州电子科技大学计算机学院，浙江杭州 310018
  2. 上海大学计算机工程与科学学院，上海 200444
  3. 韩国嘉泉大学计算机工程系，城南市 461701
  4. 北京交通大学计算机与信息技术学院，北京 100044
  5. 西交利物浦大学电气与电子工程系，江苏苏州 215123
- 作者简介：
- 基金信息：
  
  The National Key Research and Development Program of China(2020YFB2103805);The National Natural Science Foundation of China(61802093);The National Natural Science Foundation of China(61972358)
- DOI：10.11959/j.issn.1000-436x.2021120
  CLC： TN92
- Online First：2021-06，
  
  Published：25 June 2021
- 稿件说明：
移动端阅览
Youhuizi LI, Yuyu YIN, Honghao GAO, et al. Survey on privacy protection in non-aggregated data sharing[J]. Journal on Communications, 2021, 42(6): 195-212.
DOI：

Youhuizi LI, Yuyu YIN, Honghao GAO, et al. Survey on privacy protection in non-aggregated data sharing[J]. Journal on Communications, 2021, 42(6): 195-212. DOI： 10.11959/j.issn.1000-436x.2021120.

摘要

海量数据价值虽高但与用户隐私关联也十分密切，以高效安全地共享多方数据且避免隐私泄露为目标，介绍了非聚合式数据共享领域的研究发展。首先，简述安全多方计算及其相关技术，包括同态加密、不经意传输、秘密共享等；其次，分析联邦学习架构，从源数据节点和通信传输优化方面探讨现有研究；最后，整理对比面向隐私保护的非聚合式数据共享框架，为后续研究方案构建和运行提供支撑。此外，总结提出非聚合式数据共享领域的挑战和潜在的研究方向，如复杂多参与方场景、优化开销平衡、相关安全隐患等。

Abstract

Although there is a great value hidden in the massive data

it can also easily expose user privacy.Aiming at efficiently and securely sharing data from multiple parties and avoiding leakage of user private information

the development of related research and technologies on the non-aggregated data sharing field was introduced.Firstly

secure multi-party computing and its technologies were briefly described

including homomorphic encryption

oblivious transfer

secret sharing

etc.Secondly

the federated learning architecture was analyzed from the aspects of source data nodes and transmission optimization.Finally

the existing non-aggregated data sharing frameworks were listed and compared.In addition

the challenges and future potential research directions were summarized

such as complex multi-party scenarios

the balance between optimization and cost

as well as related security risks.

关键词

Keywords

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