IDEAS home Printed from https://ideas.repec.org/a/igg/jisp00/v14y2020i2p83-101.html
   My bibliography  Save this article

Dual Image-Based Dictionary Encoded Data Hiding in Spatial Domain

Author

Listed:
  • Giridhar Maji

    (Asansol Polytechnic, Asansol, India)

  • Sharmistha Mandal

    (Kanyapur Polytechnic, Asansol, India)

  • Soumya Sen

    (University of Calcutta, Calcutta, India)

Abstract

In the modern digital era, the privacy of personal communication is a serious concern to all netizens. A better way to preserve privacy could be to hide the secret message inside some innocent looking digital object such as image, audio, video, etc., which is known as steganography. A new steganographic scheme using a reference image along with the cover image has been proposed in this article. It enhances the robustness and security by increasing the obscurity of the hidden message. It also employs an additional dictionary-based encoding module to increase the hiding capacity as well as security. Experiments show that bit changes in the reference image are very few and undetectable to human perception, it also evades common statistical tests. Evaluation of standard quality parameters such as MSE, PSNR, UIQI, SSIM along with chi-squared statistics based embedding probability testing has been performed. When dictionary-based encoding is applied it further improves the quality parameters.

Suggested Citation

  • Giridhar Maji & Sharmistha Mandal & Soumya Sen, 2020. "Dual Image-Based Dictionary Encoded Data Hiding in Spatial Domain," International Journal of Information Security and Privacy (IJISP), IGI Global, vol. 14(2), pages 83-101, April.
  • Handle: RePEc:igg:jisp00:v:14:y:2020:i:2:p:83-101
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISP.2020040105
    Download Restriction: no
    ---><---

    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:igg:jisp00:v:14:y:2020:i:2:p:83-101. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.