DocumentCode :
2345302
Title :
Human Computer Interaction Based Intrusion Detection
Author :
Yampolskiy, Roman V.
Author_Institution :
Center for Unified Biometrics & Sensors, Buffalo Univ., Amherst, NY
fYear :
2007
fDate :
2-4 April 2007
Firstpage :
837
Lastpage :
842
Abstract :
In this paper we survey the state of the art in human computer interaction based biometrics which are based on abilities, style, preference, knowledge, or strategy used by people while working with a computer. We examine current research and analyze the types of features used to describe HCI behavior. After comparing accuracy rates for verification of users using different HCI-based biometric approaches we address privacy issues which arise with the use of HCI dependant biometrics. Finally, we present results of our experiments with behavior-based intrusion detection in online game networks based on the strategy utilized by the players
Keywords :
biometrics (access control); data privacy; human computer interaction; security of data; biometrics; human computer interaction; intrusion detection; privacy issues; Biometrics; Feature extraction; Graphical user interfaces; Haptic interfaces; Human computer interaction; Intrusion detection; Keyboards; Mice; Muscles; Navigation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, 2007. ITNG '07. Fourth International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7695-2776-0
Type :
conf
DOI :
10.1109/ITNG.2007.101
Filename :
4151786
Link To Document :
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