• DocumentCode
    2361034
  • Title

    Improved Visual Preference Authentication

  • Author

    Jakobsson, Markus ; Siadati, Hossein

  • fYear
    2012
  • fDate
    25-25 June 2012
  • Firstpage
    27
  • Lastpage
    34
  • Abstract
    We describe an improved preference-based password reset scheme in which both security and usability of previous approaches are dramatically improved on. We report on experimental findings supporting these claims. Our experiment shows a false negative rate on the order of 0.9% and a false positive rate on the order of 0.5% for a choice of parameters that result in a registration time of 100 seconds and an authentication time of 40 seconds. The improvements are due to a tertiary classification during authentication, instead of a binary classification, which allows a reduction in the number it items to be classified. Preference-based authentication schemes offer higher retention rates and lower risks for data-mining based attacks than comparable knowledge-based authentication schemes.
  • Keywords
    data mining; knowledge based systems; message authentication; pattern classification; authentication time; binary classification; data-mining based attacks; false negative rate; false positive rate; knowledge-based authentication schemes; preference-based password reset scheme; registration time; tertiary classification; time 100 s; time 40 s; visual preference authentication; Authentication; Correlation; Error analysis; Image resolution; Usability; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Socio-Technical Aspects in Security and Trust (STAST), 2012 Workshop on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    978-1-4673-2748-0
  • Type

    conf

  • DOI
    10.1109/STAST.2012.13
  • Filename
    6363426