• DocumentCode
    2836689
  • Title

    Key Classification: A New Approach in Free Text Keystroke Authentication System

  • Author

    Singh, Saurabh ; Arya, K.V.

  • Author_Institution
    Invertis Univ., Bareilly, India
  • fYear
    2011
  • fDate
    17-18 July 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Biometric methods are individual characteristics that cannot be used by imposters to enter in a secured system. Key stroke dynamics is a biometric utilizing the typing rhythm of the user. Key stroke dynamics is classified in two classes: (a) Fixed text based and (b) Free text based. We are proposing a novel technique for free text keystroke dynamics. In this method, keys are classified into two halves (left - right) and four lines (total eight groups) and then timing vectors (of flight time) are obtained between these key groups. Timing vectors are used to distinguish the legitimate user from imposters. The results obtained are very encouraging and supporting the approach followed in this work.
  • Keywords
    biometrics (access control); security of data; text analysis; user interfaces; biometric methods; free text keystroke dynamics; legitimate user; text authentication; Authentication; Databases; Neural networks; Presses; Rhythm; Support vector machine classification; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits, Communications and System (PACCS), 2011 Third Pacific-Asia Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4577-0855-8
  • Type

    conf

  • DOI
    10.1109/PACCS.2011.5990168
  • Filename
    5990168