IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v15y2019i7p1550147719864890.html
   My bibliography  Save this article

Blockchain-based secure and fair crowdsourcing scheme

Author

Listed:
  • Junwei Zhang
  • Wenxuan Cui
  • Jianfeng Ma
  • Chao Yang

Abstract

The crowdsourcing schemes which utilize the social network to solve complex tasks are an important part of open cooperation over the Internet. Although blockchain-based crowdsourcing schemes have considerable advantages in decentralization and data sharing, there is still a challenge to gurantee the security of crowdsourced-sensitive information and the fairness of crowdsourcing on the blockchain. To this end, this article investigates a crowdsourcing scheme based on blockchain. First, we define the basic requirements of blockchain-based crowdsourcing schemes including fairness, confidentiality, and integrity. And then, using secure hash, commitment, and homomorphic encryption, we propose a blockchain-based secure and fair crowdsourcing scheme, that is, BFC. The analysis results show that our scheme can satisfy the above requirements. Finally, the experimental results show that the computational overhead of the BFC scheme is acceptable to both the requester and the workers. In a word, our proposed crowdsourcing scheme has good expansibility in reality.

Suggested Citation

  • Junwei Zhang & Wenxuan Cui & Jianfeng Ma & Chao Yang, 2019. "Blockchain-based secure and fair crowdsourcing scheme," International Journal of Distributed Sensor Networks, , vol. 15(7), pages 15501477198, July.
    • Handle: RePEc:sae:intdis:v:15:y:2019:i:7:p:1550147719864890
    DOI: 10.1177/1550147719864890
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147719864890
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1550147719864890?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Yen, Ju-Chun & Wang, Tawei, 2021. "Stock price relevance of voluntary disclosures about blockchain technology and cryptocurrencies," International Journal of Accounting Information Systems, Elsevier, vol. 40(C).

    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:sae:intdis:v:15:y:2019:i:7:p:1550147719864890. 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: SAGE Publications (email available below). General contact details of provider: .

    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.