Keystroke patterns classification using the ARTMAP-FD neural network

Loy, Chen Change, Lai, Weng Kin and Lim, Chee Peng 2007, Keystroke patterns classification using the ARTMAP-FD neural network, in IIHMSP 2007 : Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IEEE, Piscataway, N. J., pp. 61-64.


Title Keystroke patterns classification using the ARTMAP-FD neural network
Author(s) Loy, Chen Change
Lai, Weng Kin
Lim, Chee Peng
Conference name Intelligent Information Hiding and Multimedia Signal Processing. Conference (3rd : 2007 : Kaohsiung, Malaysia)
Conference location Kaohsiung, Malaysia
Conference dates 26-28 Nov. 2007
Title of proceedings IIHMSP 2007 : Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Editor(s) [Unknown]
Publication date 2007
Conference series Intelligent Information Hiding and Multimedia Signal Processing Conference
Start page 61
End page 64
Total pages 4
Publisher IEEE
Place of publication Piscataway, N. J.
Keyword(s) ARTMAP-FD
Fuzzy ARTMAP
Keystroke dynamics
Novelty detection
Typing biometrics
Summary This paper presents the development of a keystroke dynamics-based user authentication system using the ARTMAP-FD neural network. The effectiveness of ARTMAPFD in classifying keystroke patterns is analyzed and compared against a number of widely used machine learning systems. The results show that ARTMAP-FD performs well against many of its counterparts in keystroke patterns classification. Apart from that, instead of using the conventional typing timing characteristics, the applicability of typing pressure to ascertaining user's identity is investigated. The experimental results show that combining both latency and pressure patterns can improve the Equal Error Rate (ERR) of the system.
ISBN 0769529941
9780769529943
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30048737

Document type: Conference Paper
Collection: Centre for Intelligent Systems Research
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