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Author Goodkind, A. ♦ Brizan, D.G. ♦ Rosenberg, A.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods ♦ Natural sciences & mathematics ♦ Life sciences; biology ♦ Biochemistry
Subject Keyword Context ♦ Authentication ♦ Timing ♦ Pragmatics ♦ Iris recognition ♦ Testing
Abstract Traditional keystroke-based authentication methods rely on timing of and between individual keystrokes, oblivious to the context in which the typing is taking place. By incorporating linguistic context into a keystroke-based user authentication system, we are able to improve performance, as measured by EER. Taking advantage of patterns in keystroke dynamics, we show that typists employ unique behavior relative to syntactic and lexical constructs, which can be used to help identify the typist.
Description Author affiliation: CUNY Grad. Center, New York, NY, USA (Goodkind, A.; Brizan, D.G.) || CUNY Queens Coll., NY, USA (Rosenberg, A.)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-09-08
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781479987764
Size (in Bytes) 297.05 kB
Page Count 6
Starting Page 1
Ending Page 6


Source: IEEE Xplore Digital Library