A novel distance-based algorithm for multi-user classification in keystroke dynamics

In this paper, we propose a novel distance-based localization algorithm for multi-user classification in keystroke biometrics. While this method can be applied across identification scenarios, here, we address a use-case to mitigate problems such as Facebook access misuse in shared settings. Our approach combines distance-based metric evaluation, dimensionality reduction, and localization, and is effective in dealing with challenges associated...