Differential Privacy-Based Blockchain for Industrial Internet-of-Things

Keke Gai, Yulu Wu, Liehuang Zhu*, Zijian Zhang, Meikang Qiu

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

215 引用 (Scopus)

摘要

Contemporarily, two emerging techniques, blockchain and edge computing, are driving a dramatical rapid growth in the field of Internet-of-Things (IoT). Benefits of applying edge computing is an adoptable complementarity for cloud computing; blockchain is an alternative for constructing transparent secure environment for data storage/governance. Instead of using these two techniques independently, in this article, we propose a novel approach that integrates IoT with edge computing and blockchain, which is called blockchain-based Internet of Edge model. The proposed model, designed for a scalable and controllable IoT system, sufficiently exploits advantages of edge computing and blockchain to establish a privacy-preserving mechanism while considering other constraints, such as energy cost. We implement experiment evaluations running on Ethereum. According to our data collections, the proposed model improves privacy protections without lowering down the performance in an energy-efficient manner.

源语言英语
文章编号8874972
页(从-至)4156-4165
页数10
期刊IEEE Transactions on Industrial Informatics
16
6
DOI
出版状态已出版 - 6月 2020

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