Research on Privacy Protection Adaptation and Cross-Domain Application of Zero-Knowledge Proof Technology

Fan Gao

doi:10.47297/taposatWSP2633-456909.20260702

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Research on Privacy Protection Adaptation and Cross-Domain Application of Zero-Knowledge Proof Technology

7卷第2期

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Research on Privacy Protection Adaptation and Cross-Domain Application of Zero-Knowledge Proof Technology
Research on Privacy Protection Adaptation and Cross-Domain Application of Zero-Knowledge Proof Technology
College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian, 350117, China
2026年7卷第2期页码：44-51
纸质出版：2026-02-28
DOI：10.47297/taposatWSP2633-456909.20260702
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Fan Gao. (2026). Research on Privacy Protection Adaptation and Cross-Domain Application of Zero-Knowledge Proof Technology. 科技理论与实践（英文版）, 7(2), 44-51.

Fan Gao.Research on Privacy Protection Adaptation and Cross-Domain Application of Zero-Knowledge Proof Technology[J].Theory and Practice of Science and Technology,2026,07(02):44-51.
Fan Gao. (2026). Research on Privacy Protection Adaptation and Cross-Domain Application of Zero-Knowledge Proof Technology. 科技理论与实践（英文版）, 7(2), 44-51. DOI： 10.47297/taposatWSP2633-456909.20260702.

Fan Gao.Research on Privacy Protection Adaptation and Cross-Domain Application of Zero-Knowledge Proof Technology[J].Theory and Practice of Science and Technology,2026,07(02):44-51. DOI： 10.47297/taposatWSP2633-456909.20260702.

摘要

Abstract

In the digital economy era

the contradiction between data sharing and privacy protection is increasingly prominent. Traditional privacy protection technologies such as anonymization

differential privacy

and homomorphic encryption are difficult to meet the diverse privacy demands in multiple fields due to their flaws such as vulnerability to cracking

sacrificing data accuracy

and high computational complexity. Zero-knowledge proof (ZKP)

with its core advantage of "data available but not visible"

has become the key technical support to solve this contradiction. However

the current protocol types are complex and the demands in various fields vary significantly

leading to confusion in protocol selection and imbalance in resource allocation in practice. This paper systematically reviews the theoretical basis

technical system and mainstream protocol characteristics of zero-knowledge proof

integrates the advantages of demand-driven decision tree and protocol three-dimensional classification model

constructs a protocol selection framework of "demand-driven - feature matching - dynamic optimization"

and clarifies the multi-stage decision-making process; Four typical fields

namely education

machine learning

finance

and healthcare

were selected to verify the effectiveness and universality of the framework

providing standardized tools for the large-scale application of zero-knowledge proof technology in various fields and direction guidance for the development of privacy protection technology in the post-quantum era.

关键词

Keywords

references

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