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

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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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Acknowledgement

This research was funded by a Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant awarded to R. Dara.

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Authors and Affiliations

  1. School of Computer Science, University of Guelph, Guelph, Canada

    Mohammad Amiri-Zarandi & Rozita A. Dara

  2. Department of Geography, University of Guelph, Guelph, Canada

    Evan Fraser

Authors
  1. Mohammad Amiri-Zarandi
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  2. Rozita A. Dara
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  3. Evan Fraser
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Correspondence to Rozita A. Dara.

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Amiri-Zarandi, M., Dara, R.A. & Fraser, E. LBTM: A lightweight blockchain-based trust management system for social internet of things. J Supercomput 78, 8302–8320 (2022). https://doi.org/10.1007/s11227-021-04231-3

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