IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i4p573-d1587173.html
   My bibliography  Save this article

An Encrypted Speech Integrity Authentication Method: Focus on Fine-Grained Tampering Detection and Tampering Recovery Under High Tamper Ratios

Author

Listed:
  • Fujiu Xu

    (Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China)

  • Jianqiang Li

    (Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China)

  • Xi Xu

    (Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China)

Abstract

With the increasing amount of cloud-based speech files, the privacy protection of speech files faces significant challenges. Therefore, integrity authentication of speech files is crucial, and there are two pivotal problems: (1) how to achieve fine-grained and highly accurate tampering detection and (2) how to perform high-quality tampering recovery under high tampering ratios. Tampering detection methods and tampering recovery methods of existing speech integrity authentication are mutually balanced, and most tampering recovery methods are carried out under ideal tampering conditions. This paper proposes an encrypted speech integrity authentication method that can simultaneously address both of problems, and its main contributions are as follows: (1) A 2-least significant bit (2-LSB)-based dual fragile watermarking method is proposed to improve tampering detection performance. This method constructs correlations between encrypted speech sampling points by 2-LSB-based fragile watermarking embedding method and achieves low-error tampering detection of tampered sampling points based on four types of fragile watermarkings. (2) A speech self-recovery model based on residual recovery-based linear interpolation (R2-Lerp) is proposed to achieve tampering recovery under high tampering ratios. This method constructs the model based on the correlation between tampered sampling points and their surrounding sampling points and refines the scenarios of the model according to the tampering situation of the sampling points, with experimental results showing that the recovered speech exhibits improved auditory quality and intelligibility. (3) A scrambling encryption algorithm based on the Lorenz mapping is proposed as the speech encryption method. This method scrambles the speech sampling points several times through 4-dimensional chaotic sequence, with experimental results showing that this method not only ensures security but also slightly improves the effect of tampering recovery.

Suggested Citation

  • Fujiu Xu & Jianqiang Li & Xi Xu, 2025. "An Encrypted Speech Integrity Authentication Method: Focus on Fine-Grained Tampering Detection and Tampering Recovery Under High Tamper Ratios," Mathematics, MDPI, vol. 13(4), pages 1-26, February.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:4:p:573-:d:1587173
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/4/573/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/13/4/573/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. Shahna, K.U., 2023. "Novel chaos based cryptosystem using four-dimensional hyper chaotic map with efficient permutation and substitution techniques," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    4. 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)

    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. Sundarapandian Vaidyanathan & Ahmad Taher Azar & Ibrahim A. Hameed & Khaled Benkouider & Esteban Tlelo-Cuautle & Brisbane Ovilla-Martinez & Chang-Hua Lien & Aceng Sambas, 2023. "Bifurcation Analysis, Synchronization and FPGA Implementation of a New 3-D Jerk System with a Stable Equilibrium," Mathematics, MDPI, vol. 11(12), pages 1-22, June.
    2. Garipcan, Ali Murat & Aydin, Yılmaz & Özkaynak, Fatih, 2025. "An efficient 2D hyper chaos and DNA encoding-based s-box generation method using chaotic evolutionary improvement algorithm for nonlinearity," Chaos, Solitons & Fractals, Elsevier, vol. 191(C).
    3. 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.
    4. 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.
    5. Arslan Shafique & Abid Mehmood & Moatsum Alawida & Abdul Nasir Khan & Junaid Shuja, 2025. "Lightweight image encryption scheme for IoT environment and machine learning-driven robust S-box selection," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 88(1), pages 1-23, March.
    6. 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.
    7. 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.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:13:y:2025:i:4:p:573-:d:1587173. 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: 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.