DocumentCode
3019926
Title
Are Digraphs Good for Free-Text Keystroke Dynamics?
Author
Sim, Terence ; Janakiraman, Rajkumar
Author_Institution
Nat. Univ. of Singapore, Singapore
fYear
2007
fDate
17-22 June 2007
Firstpage
1
Lastpage
6
Abstract
Research in keystroke dynamics has largely focused on the typing patterns found in fixed text (e.g. userid and passwords). In this regard, digraphs and trigraphs have proven to be discriminative features. However, there is increasing interest in free-text keystroke dynamics, in which the user to be authenticated is free to type whatever he/she wants, rather than a pre-determined text. The natural question that arises is whether digraphs and trigraphs are just as discriminative for free text as they are for fixed text. We attempt to answer this question in this paper. We show that digraphs and trigraphs, if computed without regard to what word was typed, are no longer discriminative. Instead, word-specific digraphs/trigraphs are required. We also show that the typing dynamics for some words depend on whether they are part of a larger word. Our study is the first to investigate these issues, and we hope our work will help guide researchers looking for good features for free-text keystroke dynamics.
Keywords
biometrics (access control); directed graphs; message authentication; behavioral biometrics; digraphs; free-text keystroke dynamics; trigraphs; typing patterns; user authentication; Authentication; Biometrics; Delay; Feature extraction; Fingerprint recognition; Iris; Keyboards; Pattern recognition; Security; Timing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location
Minneapolis, MN
ISSN
1063-6919
Print_ISBN
1-4244-1179-3
Electronic_ISBN
1063-6919
Type
conf
DOI
10.1109/CVPR.2007.383393
Filename
4270391
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