IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v607y2022ics037843712200783x.html
   My bibliography  Save this article

A parallel double scrambling encryption scheme for MQIR image based on random combination

Author

Listed:
  • Chen, Zigang
  • Pan, Ji
  • Yan, Yi
  • Zhu, Haihua
  • Li, Xiaoyong

Abstract

With the rapid expansion of quantum information and quantum networks, quantum image security research has gradually become a research hotspot in the field of information security. However, in the field of quantum image processing, most encryption algorithms are independent of color components or position space, and the encryption effect is not satisfactory. Therefore, we propose a parallel double scrambling encryption scheme for a multimode quantum image representation (MQIR) image based on random combination, which uses the principle of random combination to encrypt the position and pixel value of the image at the same time, so as to realize the parallel double scrambling of the pixel value and position of the MQIR image. The algorithm is based on specific keys when encrypting, so that the generation of the keys are related to the seeds. At the same time, a certain number of bits are selected on the qubits representing the three-dimensional positions, and NOT gates are added. This is so that the generated pseudo-random sequence is also related to the number of qubits chosen for the three-dimensional position of the quantum image, making it more difficult to decrypt the encrypted image. We give the quantum circuits with parallel double scrambling and inverse scrambling for MQIR quantum images. In the circuit, we divide the image into four sub-blocks and locate them respectively at the end of each sub-block. The encryption key for different sub-blocks depends on the selected seed. This circuit only needs to encrypt four times without iterating. The algorithm is simple and has a large key space. Finally, we perform the correlation coefficient (CC) and the number of pixels change rate (NPCR) analysis between the plaintext image and the encrypted image. The experimental results show that the CC exhibits low correlation between the plaintext image and the encrypted image, and the NPCR between them is extremely high, which verifies the effectiveness and security of the proposed quantum image encryption scheme.

Suggested Citation

  • Chen, Zigang & Pan, Ji & Yan, Yi & Zhu, Haihua & Li, Xiaoyong, 2022. "A parallel double scrambling encryption scheme for MQIR image based on random combination," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
  • Handle: RePEc:eee:phsmap:v:607:y:2022:i:c:s037843712200783x
    DOI: 10.1016/j.physa.2022.128225
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843712200783X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2022.128225?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.

    References listed on IDEAS

    as
    1. Gao, Ya-jun & Xie, Hong-wei & Zhang, Jun & Zhang, Hao, 2022. "A novel quantum image encryption technique based on improved controlled alternated quantum walks and hyperchaotic system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Hua-Kun & Xu, Guang-Bao & Jiang, Dong-Huan, 2023. "Quantum grayscale image encryption and secret sharing schemes based on Rubik’s Cube," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 612(C).

    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:phsmap:v:607:y:2022:i:c:s037843712200783x. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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/physica-a-statistical-mechpplications/ .

    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.