IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i9p1069-d551427.html
   My bibliography  Save this article

DeepBlockShield: Blockchain Agent-Based Secured Clinical Data Management Model from the Deep Web Environment

Author

Listed:
  • Junho Kim

    (Department of Computer Science and Engineering Chung-Ang University, Seoul 06974, Korea)

  • Mucheol Kim

    (Department of Computer Science and Engineering Chung-Ang University, Seoul 06974, Korea)

Abstract

With the growth of artificial intelligence in healthcare and biomedical research, many researchers are interested in large amounts of data in hospitals and medical research centers. Then the need for remote medicine services and clinical data utilization are expanding. However, since the misuse and abuse of clinical data causes serious problems, the scope of its use is bound to have a limited range physically and logically. Then a security-enhanced data distribution system for medical deep web environments. Therefore, in this paper, we propose a blockchain-based clinical data management model named DeepBlockshield to prevent information leakage between the deep web and the surface web. Blockchain supports data integrity and user validation to support data sharing in closed networks. Meanwhile, the agent performs integrity verification between the blockchain and the deep web and strengthens the security between the surface web and the deep web. DeepBlockShield verifies the user’s validity through the records of the deep web and blockchain. Furthermore, we wrap the results analyzed by the valid request into a web interface and provide information to the requester asynchronously. In the experiment, the block generation cycle and size on the delay time was analyzed for verifying the stability of the blockchain network. As a result, it showed that the proposed approach guarantees the integrity and availability of clinical data in the deep web environment.

Suggested Citation

  • Junho Kim & Mucheol Kim, 2021. "DeepBlockShield: Blockchain Agent-Based Secured Clinical Data Management Model from the Deep Web Environment," Mathematics, MDPI, vol. 9(9), pages 1-16, May.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:9:p:1069-:d:551427
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/9/1069/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/9/9/1069/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alexandre Passant & Philippe Laublet & John G. Breslin & Stefan Decker, 2009. "A URI is Worth a Thousand Tags: From Tagging to Linked Data with MOAT," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 5(3), pages 71-94, July.
    2. Jason Teutsch & Christian Reitwie{ss}ner, 2019. "A scalable verification solution for blockchains," Papers 1908.04756, arXiv.org.
    Full references (including those not matched with items on IDEAS)

    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. Jan Pawlowski & Markus Bick & René Peinl & Stefan Thalmann & Ronald Maier & Lars Hetmank & Paul Kruse & Malte Martensen & Henri Pirkkalainen, 2014. "Social Knowledge Environments," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(2), pages 81-88, April.
    2. Lijun Liang & Tongxin Dai & Mengwan Zhang, 2024. "Generation mechanism of behavioral risk for organizational decision-makers in financial institutions: organizational and human errors," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.

    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:jmathe:v:9:y:2021:i:9:p:1069-:d:551427. 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.