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

Authors:
Seong-seob Hwang;Hyoung-joo Lee;Sungzoon Cho
Affiliations:
Department of Industrial Engineering, Seoul National University, San 56-1, Shillim-dong, Daehakdong, Kwanak-gu, Seoul 151-744, Republic of Korea;Department of Industrial Engineering, Seoul National University, San 56-1, Shillim-dong, Daehakdong, Kwanak-gu, Seoul 151-744, Republic of Korea and Department of Engineering Science, University o ...;Department of Industrial Engineering, Seoul National University, San 56-1, Shillim-dong, Daehakdong, Kwanak-gu, Seoul 151-744, Republic of Korea
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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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.