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Blockchain Empowered Differentially Private and Auditable Data Publishing in Industrial IoT

机译:BlockChain在工业物联网中赋予差异私密和可审计的数据出版

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摘要

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.
机译:随着越来越多的组织在工业内容网络中部署他们的传感设备,对组织与他人共享数据变得越来越重要,以便可以全面探索数据的值。 但是,由于数据共享,个人隐私可能会受到损害。 在本文中,我们研究了差异私有数据发布问题,该问题旨在平衡隐私和数据实用程序之间。 具体地,提出了两个基于区块基的数据发布协议。 对于直方图发布,我们提出了一种协议,其中由区块链验证查询结果中添加的LAPLACE噪声。 对于匿名的数据发布,我们提出了一个协议,它可以阻止发布者和收件人遵守已发布数据的实用程序。 在发布者和收件人之间作为可靠中间的区块链,所提出的协议可以帮助实现公平和可审计的数据共享。

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