• DocumentCode
    3019926
  • Title

    Are Digraphs Good for Free-Text Keystroke Dynamics?

  • Author

    Sim, Terence ; Janakiraman, Rajkumar

  • Author_Institution
    Nat. Univ. of Singapore, Singapore
  • fYear
    2007
  • fDate
    17-22 June 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Research in keystroke dynamics has largely focused on the typing patterns found in fixed text (e.g. userid and passwords). In this regard, digraphs and trigraphs have proven to be discriminative features. However, there is increasing interest in free-text keystroke dynamics, in which the user to be authenticated is free to type whatever he/she wants, rather than a pre-determined text. The natural question that arises is whether digraphs and trigraphs are just as discriminative for free text as they are for fixed text. We attempt to answer this question in this paper. We show that digraphs and trigraphs, if computed without regard to what word was typed, are no longer discriminative. Instead, word-specific digraphs/trigraphs are required. We also show that the typing dynamics for some words depend on whether they are part of a larger word. Our study is the first to investigate these issues, and we hope our work will help guide researchers looking for good features for free-text keystroke dynamics.
  • Keywords
    biometrics (access control); directed graphs; message authentication; behavioral biometrics; digraphs; free-text keystroke dynamics; trigraphs; typing patterns; user authentication; Authentication; Biometrics; Delay; Feature extraction; Fingerprint recognition; Iris; Keyboards; Pattern recognition; Security; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1063-6919
  • Print_ISBN
    1-4244-1179-3
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2007.383393
  • Filename
    4270391