Skip to main navigation Skip to search Skip to main content

Blockchain and trust for secure, end-user-based and decentralized IoT service provision

  • Besfort Shala*
  • , Ulrich Trick
  • , Armin Lehmann
  • , Bogdan Ghita
  • , Stavros Shiaeles
  • *Corresponding author for this work

    Research output: Contribution to journal › Article › peer-review

    453 Downloads (Pure)

    Abstract

    Building trust relationships between different decentralized entities in the IoT ecosystem is essential. Hereof, the combination of blockchain technology and trust evaluation techniques is recently considered as an efficient measure. However, both technologies within the IoT are still facing some limitations which are addressed in this research. First, this publication reviews various blockchain-based trust approaches and depicts their strengths and limitations regarding their usage in decentralized IoT communities. Then, an optimized trust model with a multi-layer adaptive and trust-based weighting system is proposed. Additionally, different trust metric parameters and their mathematical models used for trust evaluation are presented. Moreover, this publication presents a novel approach for incentivization processes in the IoT marketplace using control loops and smart contracts. Thereby, participants are motivated to continuously improve their behavior. Finally, the proposed trust model is proved to be reliable. The experimental results conducted from different scenarios show that the presented approach provides more resiliency against various attacks than existing ones.

    Original languageEnglish
    Article number9127445
    Pages (from-to)119961-119979
    Number of pages19
    JournalIEEE Access
    Volume8
    DOIs
    Publication statusPublished - 29 Jun 2020

    Keywords

    • Blockchain
    • Internet of Things
    • services
    • smart contract
    • trust

    Fingerprint

    Dive into the research topics of 'Blockchain and trust for secure, end-user-based and decentralized IoT service provision'. Together they form a unique fingerprint.

    Cite this