IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i15p2548-d868709.html
   My bibliography  Save this article

Attribute Based Pseudonyms: Anonymous and Linkable Scoped Credentials

Author

Listed:
  • Francesc Garcia-Grau

    (Escola de Doctorat, Universitat d’Andorra, AD600 Sant Julià de Lòria, Andorra)

  • Jordi Herrera-Joancomartí

    (Departament d’Enginyeria de la Informació i les Comunicacions, Universitat Autònoma de Barcelona, CYBERCAT-Center, 08193 Barcelona, Spain)

  • Aleix Dorca Josa

    (Departament de Serveis Informàtics, Universitat d’Andorra, AD600 Sant Julià de Lòria, Andorra)

Abstract

Attribute-based credentials (ABCs) provide an efficient way to transfer custody of personal and private data to the final user, while minimizing the risk of sensitive data revelation and thus granting anonymity. Nevertheless, this method cannot detect whether one attribute has been used more than once without compromising anonymity when the emitter and consumer collude with one another. The protocol proposed in this article deals with this issue by using a modification of ZSS pairing-based short signatures over elliptic curves and Verheul’s self-blinded credentials scheme. Each user can generate an identifier (pseudonym) that is unique and verifiable by everyone in a given scope, without compromising anonymity. However, the identifier cannot be reused in the same scope, since such reuse would be detected.

Suggested Citation

  • Francesc Garcia-Grau & Jordi Herrera-Joancomartí & Aleix Dorca Josa, 2022. "Attribute Based Pseudonyms: Anonymous and Linkable Scoped Credentials," Mathematics, MDPI, vol. 10(15), pages 1-14, July.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:15:p:2548-:d:868709
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/15/2548/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/15/2548/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Jialu Hao & Wei Wu & Shuo Wang & Xiaoge Zhong & Guang Chu & Feng Shao, 2022. "A Delegation Attack Method on Attribute-Based Signatures and Probable Solutions," Mathematics, MDPI, vol. 11(1), pages 1-14, December.

    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:10:y:2022:i:15:p:2548-:d:868709. 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: 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.