IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i2idhcseit1722357.html

Hybrid Cryptographic Access Control for Cloud based Electronic Health Records Systems

Author

Listed:
  • Dhivya B
  • Siqqiue Ibrahim S. P
  • Kirubakaran R

Abstract

Cloud based Electronic Health Record (EHR) systems are next generation”big data systems” for facilitating a) efficient and scalable storage, and b) to foster collaborative care, clinical research and development. Mobility and use of multiple mobile devices in collaborative healthcare intrigue robust privacy preservation. Thus, large scale EHR systems require secure access to privacy sensitive EHR data, data storage and management. We provide a comprehensive solution with i) a cryptographic role based technique to distribute session keys to establish communications and information retrieval using Kerberos protocol, ii) location and biometrics based authentication method to authorize the users and iii) a wavelet based steganographic technique to embed EHR data securely using ECG biometric as the host in a trusted cloud storage. Based on a comprehensive security analysis, our model proves to be a scalable, secure and a reliable model to access and manage EHR data.

Suggested Citation

  • Dhivya B & Siqqiue Ibrahim S. P & Kirubakaran R, 2017. "Hybrid Cryptographic Access Control for Cloud based Electronic Health Records Systems," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(2), pages 1101-1106, April.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit1722357
    Note: Article URL: https://ijsrcseit.com/CSEIT1722357
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT1722357
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/paper/CSEIT1722357.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    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:jbh:ijsrcs:v2:y2017:i2:id:hcseit1722357. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.