Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/41034
Title: Keystroke dynamics in a general setting
Authors: Janakiraman, R. 
Sim, T. 
Keywords: Biometrics
Keystroke dynamics
Issue Date: 2007
Source: Janakiraman, R.,Sim, T. (2007). Keystroke dynamics in a general setting. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4642 LNCS : 584-593. ScholarBank@NUS Repository.
Abstract: It is well known that Keystroke Dynamics can be used as a biometric to authenticate users. But most work to date use fixed strings, such as userid or password. In this paper, we study the feasibility of using Keystroke Dynamics as a biometric in a more general setting, where users go about their normal daily activities of emailing, web surfing, and so on. We design two classifiers that appropriate for one-time and continuous authentication. We also propose a new Goodness Measure to compute the quality of a word used for Keystroke Dynamics. From our experiments we find that, surprisingly, non-English words are better suited for identification than English words. © Springer-Verlag Berlin Heidelberg 2007.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/41034
ISBN: 9783540745488
ISSN: 03029743
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

56
checked on Jan 21, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.