A Survey of Keystroke Dynamics Biometrics <s> Keystroke Dynamics Quality Measure and Control. <s> Keystroke authentication is a biometric method utilizing the typing characteristics of users. In this paper, we propose an evolutionary method for stable keystroke authentication. In the method, typing characteristics of users are represented by n-dimensional vectors and an ellipsoidal hypothesis space, which distinguishes a collection of the timing vectors of a user from those of the others, is evolved by a genetic algorithm. A filtering scheme and an adaptation mechanism are also presented to improve the stability and effectiveness of the proposed method. Empirical results show that the error rates of our method for authentication are reasonably small. <s> BIB001 </s> A Survey of Keystroke Dynamics Biometrics <s> Keystroke Dynamics Quality Measure and Control. <s> 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. <s> BIB002
When it comes to performance enhancement strategy, a lot of research works have been focusing on improving classification algorithms. However, BIB002 suggested that quality measure of keystroke patterns is a much more determinant criteria than classifier employed. Quality of user template has a direct impact on the performance of an authentication system BIB001 ; hence, designing a good and discriminative keystroke feature profile is a crucial process that should not be undermined.