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

• Type: Conference
• Year: 2007
• Where: GECCO
• Authors: Jae-Wook Lee, Sung-Soon Choi, Byung Ro Moon
• Keywords: Biometric Method, GECCO 2007, Keystroke Authentication, Stable Keystroke Authentication