IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v204y2023icp71-88.html
   My bibliography  Save this article

A parallel image encryption algorithm using intra bitplane scrambling

Author

Listed:
  • Song, Wei
  • Fu, Chong
  • Zheng, Yu
  • Tie, Ming
  • Liu, Jun
  • Chen, Junxin

Abstract

More and more privacy-sensitive images have been produced daily. Chaotic encryption guarantees that only the targeted receiver can obtain the raw image. Many works perform encryption on bit-level for better permutation but incur an unbearable time consumption caused by generating additional 3D coordinates. High-dimensional chaotic system, suitable for encrypting images, needs to iterate repeatedly for several rounds, resulting in low encrypting efficiency. This paper proposes a parallel image encryption algorithm using intra bitplane scrambling. Four threads are utilized to encrypt the images in bit-level during the permutation, where each thread scrambles two bitplanes. In diffusion, we build multiple threads to generate keystream segments to reduce encryption time. We make cryptographic analyses and compare the encryption speed with the advanced works, demonstrating that our scheme is secure and efficient.

Suggested Citation

  • Song, Wei & Fu, Chong & Zheng, Yu & Tie, Ming & Liu, Jun & Chen, Junxin, 2023. "A parallel image encryption algorithm using intra bitplane scrambling," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 204(C), pages 71-88.
  • Handle: RePEc:eee:matcom:v:204:y:2023:i:c:p:71-88
    DOI: 10.1016/j.matcom.2022.07.029
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475422003317
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2022.07.029?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bowen Zhang & Lingfeng Liu, 2023. "Chaos-Based Image Encryption: Review, Application, and Challenges," Mathematics, MDPI, vol. 11(11), pages 1-39, June.
    2. Achraf Daoui & Mohamed Yamni & Samia Allaoua Chelloug & Mudasir Ahmad Wani & Ahmed A. Abd El-Latif, 2023. "Efficient Image Encryption Scheme Using Novel 1D Multiparametric Dynamical Tent Map and Parallel Computing," Mathematics, MDPI, vol. 11(7), pages 1-29, March.
    3. Ebrahim Zareimani & Reza Parvaz, 2024. "Secure Multiple-Image Transfer by Hybrid Chaos System: Encryption and Visually Meaningful Images," Mathematics, MDPI, vol. 12(8), pages 1-24, April.

    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:eee:matcom:v:204:y:2023:i:c:p:71-88. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    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.