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Improving authentication accuracy using artificial rhythms and cues for keystroke dynamics-based authentication

Cited 20 time in Web of Science Cited 33 time in Scopus
Authors
Hwang, Seong-seob; Lee, Hyoung-joo; Cho, Sungzoon
Issue Date
2009-09
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Citation
EXPERT SYSTEMS WITH APPLICATIONS; Vol.36 7; 10649-10656
Keywords
Keystroke dynamicsNovelty detectionTempo cuesArtificial rhythmsBiometricsData qualityUser authentication
Abstract
Keystroke dynamics-based authentication (KDA) is to verify a user''''''''s identity using not only the password but also keystroke dynamics. With a small number of patterns available, data quality is of great importance in KDA applications. Recently, the authors have proposed to employ artificial rhythms and tempo cues to improve data quality: consistency and uniqueness of typing patterns. This paper examines whether improvement in uniqueness and consistency translates into improvement in authentication performance in real-world applications. In particular, we build various novelty detectors using typing patterns based on various strategies in which artificial rhythms and/or tempo cues are implemented. We show that artificial rhythms and tempo cues improve authentication accuracies and that they can be applicable in practical authentication systems. (C) 2009 Elsevier Ltd. All rights reserved.
ISSN
0957-4174
Language
English
URI
https://hdl.handle.net/10371/75342
DOI
https://doi.org/10.1016/j.eswa.2009.02.075
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Industrial Engineering (산업공학과)Journal Papers (저널논문_산업공학과)
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