IDEAS home Printed from https://ideas.repec.org/a/igg/jssmet/v11y2020i2p59-79.html
   My bibliography  Save this article

Bio-CAPTCHA Voice-Based Authentication Technique for Better Security and Usability in Cloud Computing

Author

Listed:
  • Omar Ahmed Hedaia

    (Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt)

  • Ahmed Shawish

    (Faculty of Computers and Information Science, Ain Shams University, Cairo, Egypt)

  • Essam H. Houssein

    (Faculty of Computers and Information, Minya University, Minia, Egypt)

  • Hala Zayed

    (Computers and Artificial Intelligence, Benha University, Benha, Egypt)

Abstract

Cloud computing has gained increased interest in the last few years, where an increasing number of providers are converging to such a promising platform. However, the security issues are still a big concern in the cloud, where authentication is a major one. Much research has been conducted to secure the authentication, where some of them used biometric features (fingerprint, face, and voice, etc.). In general, the biometric authentication techniques have a noticeable advantage compared to the traditional techniques because biometric features are hard to be altered or forged. Nevertheless, a new generation of attacks threatens the biometric security by using brute force approaches. This article proposes a nontraditional authentication technique that was called Bio-CAPTCHA. The proposed technique uses a random voice-based password challenge that dynamically changes every time the user tries to login, which promises to significantly decrease the possibility of unauthorized access. The conducted Experimental and theoretical analysis confirms the high-security level of the proposed technique.

Suggested Citation

  • Omar Ahmed Hedaia & Ahmed Shawish & Essam H. Houssein & Hala Zayed, 2020. "Bio-CAPTCHA Voice-Based Authentication Technique for Better Security and Usability in Cloud Computing," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 11(2), pages 59-79, April.
  • Handle: RePEc:igg:jssmet:v:11:y:2020:i:2:p:59-79
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSSMET.2020040104
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jssmet:v:11:y:2020:i:2:p:59-79. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.