Abstract
The article concerns behavioral biometrics, where issues related to computer user verification based on analysis of the mouse activity in computer system are particularly studied. The work is devoted to the analysis of user activity in environments with a graphical user interface (GUI). The set of analyzed features is extended by introducing new features to characterize the mouse activity. A new method of aggregating the mouse activity basic events into a higher level events is presented. Additionally, an attempt to intrusion detection based on the k-NN classifier and various distance metrics is performed.
This article presents the preliminary research and conclusions.
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Wesolowski, T., Palys, M., Kudlacik, P. (2015). Computer User Verification Based on Mouse Activity Analysis. In: Barbucha, D., Nguyen, N., Batubara, J. (eds) New Trends in Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 598. Springer, Cham. https://doi.org/10.1007/978-3-319-16211-9_7
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DOI: https://doi.org/10.1007/978-3-319-16211-9_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16210-2
Online ISBN: 978-3-319-16211-9
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