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

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

218 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number8874972
Pages (from-to)4156-4165
Number of pages10
JournalIEEE Transactions on Industrial Informatics
Volume16
Issue number6
DOIs
Publication statusPublished - Jun 2020

Keywords

  • Blockchain
  • Internet of Things (IoT)
  • differential privacy
  • edge computing
  • privacy-preserving
  • task allocation

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