Design and implementation of trusted gateway for privacy-preserving interconnection

Jian YE; Wen LI

doi:10.11959/j.issn.2096-0271.2023072

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Design and implementation of trusted gateway for privacy-preserving interconnection

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

- Design and implementation of trusted gateway for privacy-preserving interconnection
- Big data research Vol. 9, Issue 6, Pages: 28-38(2023)
- 作者机构：
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- DOI：10.11959/j.issn.2096-0271.2023072
  CLC： TP311.52
- Online First：2023-11，
  
  Published：15 November 2023
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Jian YE, Wen LI. Design and implementation of trusted gateway for privacy-preserving interconnection[J]. Big data research, 2023, 9(6): 28-38.
DOI：

Jian YE, Wen LI. Design and implementation of trusted gateway for privacy-preserving interconnection[J]. Big data research, 2023, 9(6): 28-38. DOI： 10.11959/j.issn.2096-0271.2023072.

摘要

基于国内外隐私计算发展现状，总结了隐私计算互联互通研究进程。运用系统架构视角，阐述互联互通技术的“应用层、协议层、通信层”三层次实现路径。针对目前互联互通平台计算原理复杂、架构多样化等特点，创新性地提出Adaptation机制互联互通框架。通过关键技术的设计和实现，在保证原有功能实现的基础上，解决了不同架构的兼容问题。通过传统机器学习、横向联邦、纵向联邦具体实验场景，针对数据量、特征分布等维度，验证了Adaptation框架下互联互通可信网关的有效性和合理性。

Abstract

Based on the current development status of privacy computing both domestically and internationally

this paper summarizes the research progress in the field of privacy computing interconnectivity.Utilizing a systemic architecture perspective

it elaborates on the implementation pathways of interconnectivity technology across three levels: the＆quot;application layer

protocol layer

and communication layer＆quot;.Considering the complexities arising from the current characteristics of interconnectivity platforms

including intricate computational principles and diverse architectures

an innovative Adaptation mechanism is proposed as an interconnectivity framework.Through the design and implementation of key technologies

this framework not only ensures the realization of existing functionalities but also addresses the compatibility issues posed by different architectures.By means of experiments conducted in various scenarios encompassing traditional machine learning

horizontal federated learning

and vertical federated learning

and considering dimensions such as data volume and feature distribution

the effectiveness and viability of the trustworthy interconnectivity gateway under the Adaptation framework have been demonstrated.

关键词

Keywords

references

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MCMAHAN H B , MOORE E , RAMAGE D , et al . Communication-efficient learning of deep networks from decentralized data [C ] // Proceedings of the 20th International Conference on Artificial Intelligence and Statistics .[S.l.:s.n. ] , 2017 : 1273 - 1282 .

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