Mouse Dynamics Behavioral Biometrics: A Survey

by   Simon Khan, et al.

Utilization of internet in everyday life has made us vulnerable in terms of privacy and security of our data and systems. Therefore, there are pressing needs to protect our data and systems by improving authentication mechanisms, which needs to be low cost, unobtrusive, and ideally ubiquitous in nature. Behavioral biometrics modalities such as mouse dynamics (i.e., mouse behaviors on a graphical user interface-GUI) and widget interactions (i.e., another modality closely related to mouse dynamics that also considers the target (widget) of a GUI interaction, such as links, button, and combo-box) can bolster the security of existing authentication systems because of their ability to distinguish an individual based on their unique features. As a result, it can be difficult for an imposter to impersonate these behavioral biometrics, making them suitable for authentication. In this paper, we survey the literature on mouse dynamics and widget interactions dated from 1897 to 2021. We begin our survey with an account of the psychological perspectives on behavioral biometrics. We then analyze the literature along the following dimensions: tasks and experimental settings for data collection, taxonomy of raw attributes, feature extractions and mathematical definitions, publicly available datasets, algorithms (statistical, machine learning, and deep learning), fusion and performance, and limitations. Lastly, we end the paper with presenting more opportunities for future research


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