• DocumentCode
    3390924
  • Title

    User identification using GUI manipulation patterns and artificial neural networks

  • Author

    Imsand, Eric S. ; Garrett, Deon ; Hamilton, John A., Jr.

  • Author_Institution
    Dept. of Comput. Sci. & Software Eng., Auburn Univ., Auburn, AL
  • fYear
    2009
  • fDate
    March 30 2009-April 2 2009
  • Firstpage
    130
  • Lastpage
    135
  • Abstract
    A masquerade attack is any attack in which the attacker is able to make the target system believe they are someone they are not. One particularly dangerous example of a masquerade attack occurs when an attacker uses an unattended, unlocked computer workstation. Recent studies have demonstrated that analyzing the manners in which a user manipulates a graphical user interface can be used as an effective means of authentication. We present the results of a study into the use of GUI manipulations in combination with Artificial Neural Networks (ANNs) as a basis for identification.
  • Keywords
    graphical user interfaces; message authentication; neural nets; GUI manipulation pattern; GUI-based intrusion detection; artificial neural network; authentication; graphical user interface; user identification; Artificial neural networks; Authentication; Computer science; Electronic mail; Graphical user interfaces; Intrusion detection; Monitoring; Operating systems; Software engineering; Workstations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Cyber Security, 2009. CICS '09. IEEE Symposium on
  • Conference_Location
    Nashville, TN
  • Print_ISBN
    978-1-4244-2769-7
  • Type

    conf

  • DOI
    10.1109/CICYBS.2009.4925100
  • Filename
    4925100