User Authentication via Multifaceted Mouse Movements and Outlier Exposure

Autor: Matthiesen, Jennifer J., Hastedt, Hanne, Brefeld, Ulf

Publikováno v: Matthiesen, J J, Hastedt, H & Brefeld, U 2023, User Authentication via Multifaceted Mouse Movements and Outlier Exposure . in B Crémilleux, S Hess & S Nijssen (eds), Advances in Intelligent Data Analysis XXI : 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13876 LNCS, Springer Nature Switzerland AG, Cham, pp. 300-313 . https://doi.org/10.1007/978-3-031-30047-9_24

Gaining information about how users interact with systems is key to behavioural biometrics. Particularly mouse movements of users have been proven beneficial to authentication tasks for being inexpensive and non-intrusive. State-of-the-art approaches

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