• DocumentCode
    2368877
  • Title

    User authentication based on keystroke analysis of long free texts with a reduced number of features

  • Author

    Park, Sunghoon ; Park, Jooseoung ; Cho, Sungzoon

  • Author_Institution
    Dept. of Ind. Eng., Seoul Nat. Univ., Seoul, South Korea
  • Volume
    1
  • fYear
    2010
  • fDate
    June 29 2010-July 1 2010
  • Firstpage
    433
  • Lastpage
    435
  • Abstract
    These days there are some papers about user classification and authentication based on keystroke patterns from typing long and free text. We suggest more accurate and convenient authentication model which is inspired by Pilsung et al. (2009). Unlike Gunetti and Picardi (2005), our model doesn´t need any kind of user-defined parameters and isn´t sensitive to noise. And the suggested model incorporates keystroke dynamics concepts more than Pilsung et al. (2009).
  • Keywords
    natural language processing; pattern classification; probability; security of data; text analysis; keystroke analysis; keystroke pattern; long free text; user authentication; user classification; Artificial neural networks; Atmospheric measurements; Data models; Particle measurements; Keystroke Dynamics Analysis Authentication; Long and Free Text;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems, Networks and Applications (ICCSNA), 2010 Second International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-7475-2
  • Type

    conf

  • DOI
    10.1109/ICCSNA.2010.5588979
  • Filename
    5588979