Improving authentication accuracy using artificial rhythms and cues for keystroke dynamics-based authentication |
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| Authors: | Seong-seob Hwang Hyoung-joo Lee Sungzoon Cho |
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| Affiliation: | 1. Department of Industrial Engineering, Seoul National University, San 56-1, Shillim-dong, Daehakdong, Kwanak-gu, Seoul 151-744, Republic of Korea;2. Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK;1. Unité de physique des dispositifs à semi-conducteurs, Tunis EL MANAR University, 2092 Tunis, Tunisia;2. College of Sciences and Art at ArRass, Qassim University, PO Box 53, 51921, Saudi Arabia;1. Paper and Fibre Research Institute (PFI), Høgskoleringen 6b, NO-7491 Trondheim, Norway;2. Kazan National Research Technological University, Karl Marks 68, 420015 Kazan, Russia;1. School of Industrial Management Engineering, Korea University, Seoul, South Korea;2. Dept. of Industrial Engineering, College of Engineering, Seoul National University, 151-744, 599 Gwanangno, Gwanak-gu, Seoul, South Korea |
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| 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. |
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