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In this paper, we introduce a mouse movement behavioral biometric that involves image feature extraction using Genetic and Evolutionary Computations (GECs). This technique is referred to as Genetic and Evolutionary Feature Extraction (GEFE), and has been successfully used on a number of different biometrics. The data collector used in this paper is one where a user moves the mouse in an attempt to bring up a username/password dialog interface. This data collector traces the user's mouse movement to waken the dialog and represents that as an image. Our results suggest that mouse movement can be used to successfully distinguish between users.
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Shelton et al. (2013) studied this question.
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