Research and application of innovative models for public data integration based on secure multi-party computation

Jiahe JIN; Chengyao ZHAO; Haoze QIU; Peng LIU

doi:10.11959/j.issn.2096-0271.2023073

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Research and application of innovative models for public data integration based on secure multi-party computation

TOPIC: BIG DATA SECURITY AND PRIVACY COMPUTING | 更新时间：2024-06-03

- Research and application of innovative models for public data integration based on secure multi-party computation
- Big data research Vol. 9, Issue 6, Pages: 15-27(2023)
- 作者机构：
  
  1. 浙江省数据开放融合关键技术研究重点实验室，浙江杭州 310007
  2. 浙江大学计算机科学与技术学院，浙江杭州 310027
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2023073
  CLC： TP399
- Online First：2023-11，
  
  Published：15 November 2023
- 稿件说明：
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Jiahe JIN, Chengyao ZHAO, Haoze QIU, et al. Research and application of innovative models for public data integration based on secure multi-party computation[J]. Big data research, 2023, 9(6): 15-27.
DOI：

Jiahe JIN, Chengyao ZHAO, Haoze QIU, et al. Research and application of innovative models for public data integration based on secure multi-party computation[J]. Big data research, 2023, 9(6): 15-27. DOI： 10.11959/j.issn.2096-0271.2023073.

摘要

多方安全计算技术已广泛应用于金融、互联网等领域，用于解决“数据孤岛”难题，然而其在公共数据领域的应用尚不成熟。针对公共数据领域提出了基于多方安全计算的公共数据融合创新模式，开发设计了在保护数据安全前提下利用各主体公共数据联合计算的技术架构。该模式通过技术创新突破制度制约，实现数据价值提升和保障数据安全的兼顾。主要分析了模式中多方安全计算核心系统的3个子层：联合计算子结构层、安全关系代数层和多方安全计算基础算子层。此外，还给出了实现公共数据融合创新模式的通用流程，并对公共数据融合创新模式的应用实例进行了阐述，为助力数字中国建设、畅通数据资源大循环提供新模式的借鉴。

Abstract

Secure multi-party computation is widely used in finance

the Internet

and other fields to solve the problem of ＆quot;data silos＆quot;

but its application in the field of public data is not yet mature.An innovative model for public data integration based on secure multi-party computation was proposed

and a technical architecture for joint computing using public data from different parties while protecting their private information was presented.The model breaks through institutional constraints through technological innovation

achieving a balance between improving data value and ensuring data security.Three sub-layers of the core system of secure multi-party computation in the proposed model

including the joint computation substructure layer

the secure relational algebra layer

and the basic operator layer of secure multi-party computation were mainly analyzed.Additionally

a general process for implementing the innovative model was presented

and the practical application of the innovative model was also discussed.The results of this study provide a new reference for promoting digital China construction and facilitating the flow of data resources.

关键词

Keywords

references

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