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GECCO
2007
Springer

An evolutionary keystroke authentication based on ellipsoidal hypothesis space

11 years 7 months ago
An evolutionary keystroke authentication based on ellipsoidal hypothesis space
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. Categories and Subject Descriptors K.6.5 [Management of Computing and Information Systems]: Security and Protection (D.4.6, K.4.2)—authen
Jae-Wook Lee, Sung-Soon Choi, Byung Ro Moon
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where GECCO
Authors Jae-Wook Lee, Sung-Soon Choi, Byung Ro Moon
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