IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i6p612-d515824.html
   My bibliography  Save this article

XOR-Based Progressively Secret Image Sharing

Author

Listed:
  • Cheng-Shian Lin

    (Department of Computer Science and Information Engineering, Tamkang University, New Taipei City 25137, Taiwan)

  • Chien-Chang Chen

    (Department of Computer Science and Information Engineering, Tamkang University, New Taipei City 25137, Taiwan)

  • Yu-Cheng Chen

    (Department of Computer Science and Information Engineering, Tamkang University, New Taipei City 25137, Taiwan)

Abstract

Secret image sharing technology is a strategy for jointly protecting secret images. The ( n , n ) secret image sharing problem can be solved by conventional Boolean calculation easily. However, how to recover secret images with progressive steps is not addressed. In this study, we proposed an XOR-based ( m , t , T i ) multi-secret image sharing scheme that shares m secret images among m participants and recovers m shared images progressively with t thresholds. The proposed secret images partition strategy (SIPS) partitions m secret images to generate intermediate images for different thresholds in the sharing procedure. Based on progressive recovery property, the proposed recovery method recovers parts of the secret images by gathering consecutive shared images. Moreover, gathering all shared images can perfectly recover all secret images. The experimental results show that the proposed XOR-based multi-secret image sharing method has high security and efficiency.

Suggested Citation

  • Cheng-Shian Lin & Chien-Chang Chen & Yu-Cheng Chen, 2021. "XOR-Based Progressively Secret Image Sharing," Mathematics, MDPI, vol. 9(6), pages 1-15, March.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:6:p:612-:d:515824
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/6/612/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/6/612/
    Download Restriction: no
    ---><---

    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:6:p:612-:d:515824. 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: 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.