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Erschienen in: The Journal of Supercomputing 6/2022

08.01.2022

LBTM: A lightweight blockchain-based trust management system for social internet of things

verfasst von: Mohammad Amiri-Zarandi, Rozita A. Dara, Evan Fraser

Erschienen in: The Journal of Supercomputing | Ausgabe 6/2022

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Abstract

In order for the Internet of things to facilitate information sharing, the technology needs trustworthy mechanisms to ensure safe communications and reliable interactions. Recently, the Social Internet of Things (Social IoT) is introduced as a novel approach that studies the social relationships among the IoT objects and considers them as a social network. In this paper, we leveraged social information from the network and proposed a lightweight blockchain-based trust management system (LBTM) for Social IoT. By leveraging blockchain technology, the proposed framework provides a decentralized solution that enables trust evaluation. We also provided an implementation of the presented framework using an Ethereum-based private blockchain. The experimental results show the proposed solution achieves high performance in the success rate metric for detecting untrustable nodes. These experiments also demonstrate the advantages of the proposed solution in comparison with other works in terms of rating accuracy and cost-efficiency.

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Metadaten
Titel
LBTM: A lightweight blockchain-based trust management system for social internet of things
verfasst von
Mohammad Amiri-Zarandi
Rozita A. Dara
Evan Fraser
Publikationsdatum
08.01.2022
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 6/2022
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-021-04231-3

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