Abstract
In order to explore the frequency domain characteristics of mouse operation for user authentication. This paper collected experimental data on mouse ballistic movements of 10 participants on the AML website. Hilbert-Huang transform was used to extract the frequency-domain information of 9 features such as speed and acceleration during mouse movement, and formed a frequency-domain feature matrix. The Bagged-tree algorithm was used to build an authentication model. The method proposed in this paper obtained Precision = 90.25%, Recall = 88.20%. The results show that there are differences in the frequency domain information when different users operate the mouse to complete the same task, which can be used for user authentication.
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This work was supported by the National Natural Science Foundation of China under Grant No. 71671020.
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Zhang, Y., Xiong, S., Li, J., Yi, S. (2020). Use Mouse Ballistic Movement for User Authentication Based on Hilbert-Huang Transform. In: Corradini, I., Nardelli, E., Ahram, T. (eds) Advances in Human Factors in Cybersecurity. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1219. Springer, Cham. https://doi.org/10.1007/978-3-030-52581-1_9
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DOI: https://doi.org/10.1007/978-3-030-52581-1_9
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