Insights from curve fitting models in mouse dynamics authentication systems

In this work, we investigate the impact of various curve smoothing approaches on the performance of prediction tasks using mouse movement sequences as inputs in the setting of user authentication. We make use of three time-series forecasting modelling techniques as alternatives and we perform a comparison. We demonstrate our findings for the Balabit challenge mouse movement dataset.

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