IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i19p6825-d1247346.html
   My bibliography  Save this article

BioChainReward: A Secure and Incentivised Blockchain Framework for Biomedical Data Sharing

Author

Listed:
  • Mahmoud Elkhodr

    (School of Engineering and Technology, Central Queensland University, Sydney, NSW 2000, Australia)

  • Ergun Gide

    (School of Engineering and Technology, Central Queensland University, Sydney, NSW 2000, Australia)

  • Omar Darwish

    (Information Security and Applied Computing Department, Eastern Michigan University, Ypsilanti, MI 48197, USA)

  • Shorouq Al-Eidi

    (Computer Science Department, Tafila Technical University, Tafila 66110, Jordan)

Abstract

In the era of digital healthcare, biomedical data sharing is of paramount importance for the advancement of research and personalised healthcare. However, sharing such data while preserving user privacy and ensuring data security poses significant challenges. This paper introduces BioChainReward (BCR), a blockchain-based framework designed to address these concerns. BCR offers enhanced security, privacy, and incentivisation for data sharing in biomedical applications. Its architecture consists of four distinct layers: data, blockchain, smart contract, and application. The data layer handles the encryption and decryption of data, while the blockchain layer manages data hashing and retrieval. The smart contract layer includes an AI-enabled privacy-preservation sublayer that dynamically selects an appropriate privacy technique, tailored to the nature and purpose of each data request. This layer also features a feedback and incentive mechanism that incentivises patients to share their data by offering rewards. Lastly, the application layer serves as an interface for diverse applications, such as AI-enabled apps and data analysis tools, to access and utilise the shared data. Hence, BCR presents a robust, comprehensive approach to secure, privacy-aware, and incentivised data sharing in the biomedical domain.

Suggested Citation

  • Mahmoud Elkhodr & Ergun Gide & Omar Darwish & Shorouq Al-Eidi, 2023. "BioChainReward: A Secure and Incentivised Blockchain Framework for Biomedical Data Sharing," IJERPH, MDPI, vol. 20(19), pages 1-14, September.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:19:p:6825-:d:1247346
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/19/6825/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/19/6825/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mishall Al-Zubaidie & Zhongwei Zhang & Ji Zhang, 2019. "PAX: Using Pseudonymization and Anonymization to Protect Patients’ Identities and Data in the Healthcare System," IJERPH, MDPI, vol. 16(9), pages 1-36, April.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Mahmoud Elkhodr & Samiya Khan & Ergun Gide, 2024. "A Novel Semantic IoT Middleware for Secure Data Management: Blockchain and AI-Driven Context Awareness," Future Internet, MDPI, vol. 16(1), pages 1-31, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mishall Al-Zubaidie & Ghanima Sabr Shyaa, 2023. "Applying Detection Leakage on Hybrid Cryptography to Secure Transaction Information in E-Commerce Apps," Future Internet, MDPI, vol. 15(8), pages 1-20, August.

    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:jijerp:v:20:y:2023:i:19:p:6825-:d:1247346. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.