Borderless Authentic – Authentication in the Upper-Rhine Area with AI
DOI:
https://doi.org/10.60643/urai.v2023p194Keywords:
Continuous Authentication, Federated ML, Public Transport and MobilityAbstract
Efficient identity management is not only a concern of the virtual world but also paramount for modern open societies like the European Union. Non-intrusive, AI-based techniques of continuous authentication have recently been proposed to increase the security, efficiency and user friendliness of online systems and services. We introduce the research project aura.ai that will investigate how to transfer and apply these novel means of AI-based authentication in the public transportation area of the Upper-Rhine region.
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Copyright (c) 2024 Abdelhafid Abouaissa, Wilfrid Azan, Yannick Boehmann, Michael Böttger, Ugo Devoille, Marc Gilg, Martin Gwerder, Roxana Hess, Bastian Leferink, Pascal Lorenz, David Monschein, Zoltan Nochta, José Antonio Peregrina Pérez, Tim Piotrowski, Ioan Szilagyi, Oliver Waldhorst, Jochen Wendel, Oliver Wolf, Christian Zirpins

This work is licensed under a Creative Commons Attribution 4.0 International License.