IDEAS home Printed from https://ideas.repec.org/a/igg/jisp00/v15y2021i3p48-64.html
   My bibliography  Save this article

A New Combinational Technique in Image Steganography

Author

Listed:
  • Sabyasachi Pramanik

    (Haldia Institute of Technology, India)

  • Debabrata Samanta

    (CHRIST University, India)

  • Samir Kumar Bandyopadhyay

    (University of Calcutta, India)

  • Ramkrishna Ghosh

    (Haldia Institute of Technology, India)

Abstract

Internet is used for exchanging information. Sometimes it is needed to transmit confidential data via internet. Here the authors use image steganography to pass confidential data within a cover image. To construct the algorithm, they take the combinational help of particle swarm optimization (PSO), bi-orthogonal wavelet transform (BWT), and genetic algorithm (GA). They use PSO to take the enhanced version of cover image. They use BWT to choose the selective sub bands of cover image and we utilize GA to select a particular stego image among a set of stego images. Thus, an innovative technique of image steganography has been made to transmit confidential data via cover image generating stego image. This combinational approach of image steganography is quite safe for confidential data transmission and makes it hard for the attackers to retrieve the confidential data.

Suggested Citation

  • Sabyasachi Pramanik & Debabrata Samanta & Samir Kumar Bandyopadhyay & Ramkrishna Ghosh, 2021. "A New Combinational Technique in Image Steganography," International Journal of Information Security and Privacy (IJISP), IGI Global, vol. 15(3), pages 48-64, July.
  • Handle: RePEc:igg:jisp00:v:15:y:2021:i:3:p:48-64
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISP.2021070104
    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:15:y:2021:i:3:p:48-64. 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.