Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/132384
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Type: Conference paper
Title: Blockchain-based solutions for IoT: A tertiary study
Author: Xu, Q.
Chen, X.
Li, S.
Zhang, H.
Babar, M.A.
Tran, N.K.
Citation: Proceedings of the 20th IEEE International Conference on Software Quality, Reliability, and Security Companion (QRS-C 2020), 2020, pp.124-131
Publisher: IEEE
Publisher Place: online
Issue Date: 2020
ISBN: 9781728189154
Conference Name: IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) (11 Dec 2020 - 14 Dec 2020 : Macau, China)
Statement of
Responsibility: 
Qianwen Xu, Xiudi Chen, Shanshan Li, He Zhang, Muhammad Ali Babar, and Nguyen Khoi Tran
Abstract: The combination of blockchain and Internet of Things (IoT) brings revolutionary changes to Industry 4.0. However, blockchain technology is immature now and the combination is under exploration. To understand the research status of applying blockchain-based solutions for IoT, we conduct a tertiary study that systematically reviews secondary studies in this domain. Through the processes of automated search and selection, this study obtains 11 secondary studies published between 2016 and 2020. Based on the rigorous data extraction and analysis, we have established a comprehensive overview of the current state, concerns, and critical findings of relevant studies focusing on blockchain-based solutions for IoT. Results involve typical challenges and characteristics of blockchain itself, the constrained nature of IoT, and specific domains that blockchainbased solutions are commonly applied to. Three directions are also highlighted for future research, i.e. addressing challenging quality attributes, consensus optimization, and integrating blockchain-based IoT with other new technologies.
Keywords: Blockchain; IoT; Internet of Things; Tertiary Study
Rights: ©2020 IEEE
DOI: 10.1109/QRS-C51114.2020.00031
Published version: https://ieeexplore.ieee.org/xpl/conhome/9282606/proceeding
Appears in Collections:Computer Science publications

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