S-Space College of Engineering/Engineering Practice School (공과대학/대학원) Dept. of Industrial Engineering (산업공학과) Journal Papers (저널논문_산업공학과)
Improving authentication accuracy using artificial rhythms and cues for keystroke dynamics-based authentication
- Hwang, Seong-seob; Lee, Hyoung-joo; Cho, Sungzoon
- Issue Date
- PERGAMON-ELSEVIER SCIENCE LTD
- EXPERT SYSTEMS WITH APPLICATIONS; Vol.36 7; 10649-10656
- Keystroke dynamics; Novelty detection; Tempo cues; Artificial rhythms; Biometrics; Data quality; User authentication
- 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.
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