基于区块链的感知数据交易隐私保护方案

李云辉; 陈家辉

doi:10.11959/j.issn.2096-0271.2023071

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基于区块链的感知数据交易隐私保护方案

专题：大数据安全与隐私计算 | 更新时间：2024-06-03

- 基于区块链的感知数据交易隐私保护方案
- A blockchain-based privacy protection scheme for sensing data trading
- 大数据 2023年9卷第6期页码：39-52
- 作者机构：
- 作者简介：
  
  [ "李云辉（1996- ），男，广东工业大学计算机学院硕士生，主要研究方向为区块链技术及隐私保护。" ]
  [ "陈家辉（1986- ），男，博士，广东工业大学计算机学院副教授，主要研究方向为后量子密码学、区块链技术及人工智能安全。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61902079)
- DOI：10.11959/j.issn.2096-0271.2023071
  中图分类号： TP181
- 网络首发：2023-11，
  
  纸质出版：2023-11-15
- 稿件说明：
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李云辉, 陈家辉. 基于区块链的感知数据交易隐私保护方案[J]. 大数据, 2023,9(6):39-52.

Yunhui LI, Jiahui CHEN. A blockchain-based privacy protection scheme for sensing data trading[J]. Big data research, 2023, 9(6): 39-52.
李云辉, 陈家辉. 基于区块链的感知数据交易隐私保护方案[J]. 大数据, 2023,9(6):39-52. DOI： 10.11959/j.issn.2096-0271.2023071.

Yunhui LI, Jiahui CHEN. A blockchain-based privacy protection scheme for sensing data trading[J]. Big data research, 2023, 9(6): 39-52. DOI： 10.11959/j.issn.2096-0271.2023071.

摘要

感知数据交易能将感知数据转化为经济价值，促进数据的有效利用和共享。为了确保感知数据交易的可靠性和隐私安全，提出了一个基于混洗差分隐私的区块链感知数据交易方案。该方案设置了审计节点进行用户筛选和任务执行，混洗节点进行争议处理和奖励分发，并使用混洗模型下的差分隐私技术对用户的数据进行加噪。此外，还使用加法秘密共享技术划分数据到r个混洗器，以隐藏用户和数据的映射关系。该方案不需要可信的第三方，数据消费者可通过区块链交易平台发布任务并进行广播，进行安全隐私的数据交易。同时，根据隐私放大定理，该方案可获得接近中心化差分隐私的隐私保护效果。最后通过实验验证了方案的可行性，对比相关算法，该方案得到的数据准确性更高。

Abstract

Sensing data trading is to transform sensory data into economic value and promote the utility and sharing of data.To ensure the reliability and privacy of data transaction

a blockchain sensing data transaction scheme based on shuffle differential privacy was proposed.In our scheme

we set an audit node to supervise users and perform tasks

a shuffle node to deal with disputes and reward distribution.We used the differential privacy technology under the shuffle model to add noise to the user's data.In addition

we supplied additive secret sharing divide the data into r shufflers to prevent the mapping relationship between users and data.Our scheme does not require a trusted third party

while data consumers could publish tasks and broadcast data through the blockchain trading platform for secure and private transactions.According to the privacy amplification theorem

the proposed scheme could obtain similar privacy protection with the centralized differential privacy.Finally

we gave experiments to verify the feasibility of the scheme.Compared with related algorithms

the data accuracy obtained by our scheme was better.

关键词

Keywords

references

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