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|Title:||Keystroke dynamics in a general setting||Authors:||Janakiraman, R.
|Issue Date:||2007||Citation:||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|
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