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Article
Blockchain Solution for IoT-based Critical Infrastructures: Byzantine Fault Tolerance
Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020
  • Omar Alfandi, Zayed University
  • Safa Otoum, Zayed University
  • Yaser Jararweh, Duquesne University
Document Type
Conference Proceeding
Publication Date
4-1-2020
Abstract

© 2020 IEEE. Providing an acceptable level of security for Internet of Things (IoT)-based critical infrastructures, such as the connected vehicles, considers as an open research issue. Nowadays, blockchain overcomes a wide range of network limitations. In the context of IoT and blockchain, Byzantine Fault Tolerance (BFT)-based consensus protocol, that elects a set of authenticated devices/nodes within the network, considers as a solution for achieving the desired energy efficiency over the other consensus protocols. In BFT, the elected devices are responsible for ensuring the data blocks' integrity and preventing the concurrently appended blocks that might contain some malicious data. In this paper, we evaluate the fault-tolerance with different network settings, i.e., the number of connected vehicles. We verify and validate the proposed model with MATLAB/Simulink package simulations. The results show that our proposed hybrid scenario performed over the non-hybrid scenario taking throughput and latency in the consideration as the evaluated metrics.

ISBN
9781728149738
Publisher
Institute of Electrical and Electronics Engineers Inc.
Disciplines
Keywords
  • Blockchain,
  • Byzantine Fault Tolerance (BFT),
  • Fault Tolerance (FT),
  • Internet of Things (IoT)
Scopus ID
85086758228
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1109/NOMS47738.2020.9110312
Citation Information
Omar Alfandi, Safa Otoum and Yaser Jararweh. "Blockchain Solution for IoT-based Critical Infrastructures: Byzantine Fault Tolerance" Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020 (2020) - 4
Available at: http://works.bepress.com/safa-otoum/10/