IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i9p5200-d802099.html
   My bibliography  Save this article

Trusted Blockchain-Driven IoT Security Consensus Mechanism

Author

Listed:
  • Chuansheng Wang

    (School of Management and Engineering, Capital University of Economics and Business, Beijing 100070, China)

  • Xuecheng Tan

    (School of Management and Engineering, Capital University of Economics and Business, Beijing 100070, China)

  • Cuiyou Yao

    (School of Management and Engineering, Capital University of Economics and Business, Beijing 100070, China)

  • Feng Gu

    (Department of Computer Science, College of Staten Island, The City University of New York, New York, NY 10314, USA)

  • Fulei Shi

    (School of Management and Engineering, Capital University of Economics and Business, Beijing 100070, China)

  • Haiqing Cao

    (School of Management and Engineering, Capital University of Economics and Business, Beijing 100070, China)

Abstract

Single point of failure and node attack tend to cause instability in the centralized Internet of Things (IoT). Combined with blockchain technology, the deficiency of traditional IoT architecture can be effectively alleviated. However, the existing blockchain consensus mechanism still has the problems of forks and wasting of computing power. Therefore, this paper proposes a new framework based on a two-stage credit calculation to handle these problems. Notably, the nodes are selected through the model, and these nodes will compete on the chain according to the behavior of participating in the creation of the block. Then, a comparative simulation with the existing consensus mechanism proof of work (PoW) is presented. The results show that the proposed framework can quickly eliminate malicious nodes, maintain the overall security of the blockchain and reduce consensus delay.

Suggested Citation

  • Chuansheng Wang & Xuecheng Tan & Cuiyou Yao & Feng Gu & Fulei Shi & Haiqing Cao, 2022. "Trusted Blockchain-Driven IoT Security Consensus Mechanism," Sustainability, MDPI, vol. 14(9), pages 1-14, April.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5200-:d:802099
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/9/5200/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/9/5200/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Abdullah Aljumah & Tariq Ahamed Ahanger, 2023. "Blockchain-Based Information Sharing Security for the Internet of Things," Mathematics, MDPI, vol. 11(9), pages 1-20, May.
    2. Ji Tan & S. B. Goyal & Anand Singh Rajawat & Tony Jan & Neda Azizi & Mukesh Prasad, 2023. "Anti-Counterfeiting and Traceability Consensus Algorithm Based on Weightage to Contributors in a Food Supply Chain of Industry 4.0," Sustainability, MDPI, vol. 15(10), pages 1-19, May.

    More about this item

    Keywords

    blockchain; IoT; rrust model; PoT;
    All these keywords.

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5200-:d:802099. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.