IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i2idhcseit1722181.html

A Shoulder Surfing Resistant Graphical Authentication System

Author

Listed:
  • D. Ravi
  • I. S. Narmadha
  • L. Nivetha
  • R. Vijayalakshmi

Abstract

People enjoy the convenience of on-line services, but online environments may bring many risks. We propose a virtual password and QR code concept involving a small amount of human computing to secure users’ passwords in on-line environments. We adopted user-determined randomized linear generation functions to secure users’ passwords based on the fact that a server has more information than any adversary does. We propose differentiated QR code mechanisms in which a user has the freedom to choose a virtual password scheme ranging from weak security to strong security, where a virtual password requires a small amount of human computing to secure users’ passwords. A functionis used to implement the virtual password concept with security for complexity requiring a small amount of human computing. For user-specified functions, we adopt secretlittle functions in which security is enhanced by to generate QR CODE.

Suggested Citation

  • D. Ravi & I. S. Narmadha & L. Nivetha & R. Vijayalakshmi, 2017. "A Shoulder Surfing Resistant Graphical Authentication System," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(2), pages 569-572, April.
  • Handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit1722181
    Note: Article URL: https://ijsrcseit.com/CSEIT1722181
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT1722181
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT1722181.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    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:jbh:ijsrcs:v2:y2017:i2:id:hcseit1722181. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.