IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v75y2020i3d10.1007_s11235-020-00684-8.html
   My bibliography  Save this article

REPAIR: fragile watermarking for encrypted speech authentication with recovery ability

Author

Listed:
  • Qing Qian

    (Guizhou University of Finance and Economics)

  • Yunhe Cui

    (Guizhou University)

  • Hongxia Wang

    (Sichuan University)

  • Mingsen Deng

    (Guizhou University of Finance and Economics)

Abstract

Confidentiality and integrity are fundamental requirements when transmitting and storing data. In order to guarantee the confidentiality and integrity of speech signal, we present a novel wateRmarking scheme for Encrypted sPeech AuthenticatIon with Recovery (REPAIR) scheme. In REPAIR, an encryption algorithm is first designed based on a hyper-chaotic method to improve the confidentiality of the original speech by encryption. Subsequently, a watermark generation and embedding algorithm is proposed to generate and embed the check bits and compression bits. Afterwards, a content authentication and tampering recovery algorithm is introduced to locate and recover the tampered speech frames. Meanwhile, a speech decryption algorithm is also presented to decrypt the encrypted speech. Analysis and experimental results demonstrate that REPAIR can detect and locate synchronization attacks and de-synchronization attacks without using the auxiliary synchronous code. Additionally, REPAIR can also recover the tampered content with high quality.

Suggested Citation

  • Qing Qian & Yunhe Cui & Hongxia Wang & Mingsen Deng, 2020. "REPAIR: fragile watermarking for encrypted speech authentication with recovery ability," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 75(3), pages 273-289, November.
    • Handle: RePEc:spr:telsys:v:75:y:2020:i:3:d:10.1007_s11235-020-00684-8
    DOI: 10.1007/s11235-020-00684-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-020-00684-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11235-020-00684-8?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. Qing Qian & Hongxia Wang & Xingming Sun & Yunhe Cui & Huan Wang & Canghong Shi, 2018. "Speech authentication and content recovery scheme for security communication and storage," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(4), pages 635-649, April.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Omid Pakdel Azar & Hadi Amiri & Farbod Razzazi, 2021. "Enhanced target detection using a new combined sonar waveform design," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 77(2), pages 317-334, June.

    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. Qiu-yu Zhang & Fu-jiu Xu, 2023. "Encrypted speech authentication and recovery scheme based on fragile watermarking," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 82(1), pages 125-140, January.
    2. Slami Saadi & Ahmed Merrad, 2024. "A novel adaptive watermark embedding approach for enhancing security of biometric voice/speech systems," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 86(4), pages 627-643, August.

    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:spr:telsys:v:75:y:2020:i:3:d:10.1007_s11235-020-00684-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.