Blockchain Empowered Differentially Private and Auditable Data Publishing in Industrial IoT

【Author】 Xu, Lei; Bao, Ting; Zhu, Liehuang

【Source】IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

【影响因子】11.648

【Abstract】As more and more organizations deploy their sensing devices in the industrial Internet of Things network, it becomes increasingly important for the organizations to share data with others, so that the value of the data can be fully explored. However, individuals' privacy may be compromised because of data sharing. In this article, we study the differentially private data publishing problem, which aims at balancing between privacy and data utility. Specifically, two blockchain-based data publishing protocols are proposed. For histogram publishing, we propose a protocol where the Laplace noise added in the query result is verified by the blockchain. For anonymized data publishing, we propose a protocol, which can prevent the publisher and the recipient from lying about the utility of the published data. With the blockchain acting as a reliable intermediary between the publisher and the recipient, the proposed protocols can help to realize fair and auditable data sharing.

【Keywords】Publishing; Blockchain; Servers; Protocols; Sensors; Public key; Differential privacy; Blockchain; differential privacy; histogram publishing; transaction verification; verifiable shuffle

【发表时间】2021 NOV

【收录时间】2022-01-01

【文献类型】

【主题类别】

--