IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v12y2016i7p2171642.html
   My bibliography  Save this article

Preserving Patient's Anonymity for Mobile Healthcare System in IoT Environment

Author

Listed:
  • Seungsoo Baek
  • Seung-Hyun Seo
  • Seungjoo Kim

Abstract

Emerging IoT (Internet of Things) technologies provide many benefits to the improvement of healthcare service. The successful deployment of IoT depends on ensuring security and privacy that need to adapt to their processing capabilities. IoT is vulnerable to attacks since communications are mostly wireless. So far, most researchers have only focused on security or privacy issues related to wireless communication in the IoT environment without considering all the communication vulnerabilities. However, since most of biometric data from sensors travel over the cellular network, we are required to study a privacy-enhanced scheme that covers all the secure communications. Therefore, we propose a novel privacy-enhanced mobile healthcare system in the IoT environment. Our proposed scheme provides anonymous communication between a patient and a doctor in a wireless cellular network satisfying security requirements and guaranteeing its efficiency.

Suggested Citation

  • Seungsoo Baek & Seung-Hyun Seo & Seungjoo Kim, 2016. "Preserving Patient's Anonymity for Mobile Healthcare System in IoT Environment," International Journal of Distributed Sensor Networks, , vol. 12(7), pages 2171642-217, July.
    • Handle: RePEc:sae:intdis:v:12:y:2016:i:7:p:2171642
    DOI: 10.1177/155014772171642
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/155014772171642
    Download Restriction: no
    File URL: https://libkey.io/10.1177/155014772171642?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
    ---><---

    More about this item

    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:sae:intdis:v:12:y:2016:i:7:p:2171642. 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.