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
fDate :
March 30 2009-April 2 2009
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;
Conference_Titel :
Computational Intelligence in Cyber Security, 2009. CICS '09. IEEE Symposium on
Conference_Location :
Nashville, TN
Print_ISBN :
978-1-4244-2769-7
DOI :
10.1109/CICYBS.2009.4925100