IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v181y2024ics0960077924002339.html
   My bibliography  Save this article

Heterogeneous parallel computing based real-time chaotic video encryption and its application to drone-oriented secure communication

Author

Listed:
  • Shi, Fan-feng
  • Li, Tao
  • Hu, Hao-yu
  • Li, Yi-fei
  • Shan, Dan
  • Jiang, Dong

Abstract

This paper proposes a real-time video encryption strategy based on multi-round confusion–diffusion architecture and heterogeneous parallel computing. It leverages the powerful computing capacity of the Central Processing Unit (CPU) and the high parallel capability of the Graphics Processing Unit (GPU) to perform byte generation, confusion and diffusion operations concurrently, thereby enhancing computational efficiency. Statistical and security analysis demonstrate that the proposed method exhibits exceptional statistical properties and provides resistance against different types of attacks. Encryption speed evaluation shows that it can realize latency-free 768×768 30FPS video encryption using Intel Xeon Gold 6226R and NVIDIA GeForce RTX 3090, with an average encryption time of 25.12 ms, despite performing seven rounds of confusion and six rounds of diffusion operations on each frame. Additionally, the proposed strategy is adopted to implement a drone-oriented secure video communication system, achieving latency-free 256×256 29FPS video encryption with NVIDIA Jetson Xavier NX (NVIDIA Camel ARM CPU and Volta GPU).

Suggested Citation

  • Shi, Fan-feng & Li, Tao & Hu, Hao-yu & Li, Yi-fei & Shan, Dan & Jiang, Dong, 2024. "Heterogeneous parallel computing based real-time chaotic video encryption and its application to drone-oriented secure communication," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
    • Handle: RePEc:eee:chsofr:v:181:y:2024:i:c:s0960077924002339
    DOI: 10.1016/j.chaos.2024.114681
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077924002339
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2024.114681?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.

    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:chsofr:v:181:y:2024:i:c:s0960077924002339. 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: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    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.