DocumentCode
2446029
Title
Keystroke dynamics: Characteristics and opportunities
Author
Crawford, Heather
Author_Institution
Dept. of Comput. Sci., Univ. of Glasgow, Glasgow, UK
fYear
2010
fDate
17-19 Aug. 2010
Firstpage
205
Lastpage
212
Abstract
Significant research into the feasibility of keystroke dynamics as a potential biometric authentication method has taken place since the advent of computers. The studies have progressed from examining typing patterns on desktop keyboards using statistical pattern classifiers to mobile keyboards using neural networks as a pattern classifier. The studies do not have a unifying method of comparing results, which limits comparison between the methods presented. Without the ability to compare studies within research areas, future study is limited in its ability to provide important modifications to the work in question. This paper reviews a representative subset of the current research in keystroke dynamics, and provides recommendations on the potential direction of future work in this area. This will provide a set of guidelines that can be followed by researchers intending to do further work in the area of keystroke dynamics.
Keywords
biometrics (access control); message authentication; pattern classification; user interfaces; biometric authentication method; keystroke dynamics; neural networks; statistical pattern classifiers; Artificial neural networks; Authentication; Computers; Error analysis; Keyboards; Measurement; Mobile handsets;
fLanguage
English
Publisher
ieee
Conference_Titel
Privacy Security and Trust (PST), 2010 Eighth Annual International Conference on
Conference_Location
Ottawa, ON
Print_ISBN
978-1-4244-7551-3
Electronic_ISBN
978-1-4244-7549-0
Type
conf
DOI
10.1109/PST.2010.5593258
Filename
5593258
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