IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v13y2022i2d10.1007_s13198-021-01330-5.html
   My bibliography  Save this article

Fuzzy extractor and chaos enhanced elliptic curve cryptography for image encryption and authentication

Author

Listed:
  • Jasra Bhat

    (IUST)

  • Manasha Saqib

    (IUST)

  • Ayaz Hassan Moon

    (IUST)

Abstract

This paper proposes a novel method for secure image encryption and authentication based upon fuzzy extractor driven Elliptic Curve key exchange scheme. Use of fuzzy extractor facilitates both parties to authenticate each other without disclosing their original biometric information. The image encryption is achieved using a shared key in two steps. In the first step, we use a novel Cosine Transform based Chaos System to generate a pseudo- random chaos sequence over a dynamic range. In the second step, this chaos sequence along with Elliptic curve-based encryption is used in code block cipher mode to get the cipher image. To authenticate the encrypted image, an easily computable and verifiable digital signature scheme based on fuzzy extractor and Elliptic curve cryptography has been proposed. The proposed encryption is computationally efficient as it does not need an exclusive encoding of plain image pixels to Elliptic curve points. Results and analysis show that our scheme is resilient to different kinds of security attacks particularly differential attacks. The proposed scheme results in a random cipher image with high entropy and very low inter-pixel correlation at a low computational cost and encryption time.

Suggested Citation

  • Jasra Bhat & Manasha Saqib & Ayaz Hassan Moon, 2022. "Fuzzy extractor and chaos enhanced elliptic curve cryptography for image encryption and authentication," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 697-712, April.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:2:d:10.1007_s13198-021-01330-5
    DOI: 10.1007/s13198-021-01330-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-021-01330-5
    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/s13198-021-01330-5?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. Víctor Manuel Silva-García & Rolando Flores-Carapia & Manuel Alejandro Cardona-López & Miguel Gabriel Villarreal-Cervantes, 2023. "Generation of Boxes and Permutations Using a Bijective Function and the Lorenz Equations: An Application to Color Image Encryption," Mathematics, MDPI, vol. 11(3), pages 1-25, January.

    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:ijsaem:v:13:y:2022:i:2:d:10.1007_s13198-021-01330-5. 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: 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.