Skip to main content

Research Repository

Advanced Search

Autoencoder based consensus mechanism for blockchain-enabled industrial Internet of Things.

Arifeen, Murshedul; Ghosh, Tapotosh; Islam, Rakibul; Ashiquzzaman, Akm; Yoon, Juncheol; Kim, Jinsul

Authors

Tapotosh Ghosh

Rakibul Islam

Akm Ashiquzzaman

Juncheol Yoon

Jinsul Kim



Abstract

Conventional blockchain technologies developed for cryptocurrency applications involve complex consensus algorithms which are not suitable for resource constrained Internet of Things (IoT) devices. Therefore, several lightweight consensus mechanisms that are suitable for IoT devices have been proposed in recent studies. However, these lightweight consensus mechanisms do not verify the originality of the data generated by the IoT devices, so false and anomalous data may pass through and be stored in the ledger for further analysis. In this work to address the data originality verification problem, we propose an autoencoder (AE)-integrated chaincode (CC)-based consensus mechanism in which the AE differentiates normal data from anomalous data. The AE is invoked through the CC once a transaction is initiated; the result returned from the AE to the CC is stored in the ledger. We have conducted a case study to train and test the AE model on the IoTID20 dataset. Also, Minifabric (MF) is used to implement the CC and illustrate the CC operation that stores only original IoT data. Moreover, the performance has been shown for the chaincode in terms of Latency and Throughput.

Citation

ARIFEEN, M., GHOSH, T., ISLAM, R., ASHIQUZZAMAN, A., YOON, J. and KIM, J. 2022. Autoencoder based consensus mechanism for blockchain-enabled industrial Internet of Things. Internet of things [online], 19, article 100575. Available from: https://doi.org/10.1016/j.iot.2022.100575

Journal Article Type Article
Acceptance Date Jul 4, 2022
Online Publication Date Jul 8, 2022
Publication Date Aug 31, 2022
Deposit Date Aug 4, 2022
Publicly Available Date Jul 9, 2023
Journal Internet of Things
Print ISSN 2542-6605
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 19
Article Number 100575
DOI https://doi.org/10.1016/j.iot.2022.100575
Keywords IoT; Autoencoder; Blockchain; Hyperledger; Security
Public URL https://rgu-repository.worktribe.com/output/1706555

Files

This file is under embargo until Jul 9, 2023 due to copyright reasons.

Contact publications@rgu.ac.uk to request a copy for personal use.




You might also like



Downloadable Citations