基于区块链的感知数据交易隐私保护方案

doi:10.11959/j.issn.2096-0271.2023071

摘要/Abstract

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。

关键词: 感知数据, 数据共享, 区块链, 隐私保护, 差分隐私

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.

Key words: sensing data, data sharing, blockchain, privacy protection, differential privacy

中图分类号:

TP181

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.

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符号	含义
ID_dc	DC的身份ID信息
（PK_dc，SK_dc）	DC的公私钥对
DC_addr	DC的地址
Deposits	发布任务所需押金
Info_task	任务信息
Status_sc	智能合约状态
DC_IP	DC的IP地址
TSC	时间戳
AN_addr	AN的地址
SN_addr	SN的地址
n_SN	SN表
List_credit	SN表的信誉值
ε	中心端隐私预算
δ	隐私泄露风险概率
ε_l	本地端隐私预算
DS_addr	DS的地址

操作	gas消耗	消耗时间/ms
合约部署	1 164 642	178
创建查询	90 158	70
用户数据哈希值上传	85 044	81
混洗数据哈希值上传	85 044	85
奖励分发	37 330	53

大小	操作	gas消耗消耗时间/ms
256	隐私保护前数据上传	85 044 87
	隐私保护后数据上传	170 088166
512	隐私保护前数据上传	126 075 90
	隐私保护后数据上传	252 150173
768	隐私保护前数据上传	167 251 92
	隐私保护后数据上传	334 502178
1 024	隐私保护前数据上传	208 427102
	隐私保护后数据上传	416 854216