Borderless Authentic – Authentication in the Upper-Rhine Area with AI

Authors

  • Abdelhafid Abouaissa Université de Haute Alsace (UHA)
  • Wilfrid Azan Université Lumière Lyon 2
  • Yannick Boehmann Neomia.ai
  • Michael Böttger raumobil GmbH
  • Ugo Devoille Neomia.ai
  • Marc Gilg Université de Haute Alsace (UHA)
  • Martin Gwerder Fachhochschule Nordwestschweiz (FHNW)
  • Roxana Hess INIT GmbH
  • Bastian Leferink raumobil GmbH
  • Pascal Lorenz Université de Haute Alsace (UHA)
  • David Monschein Karlsruhe University of Applied Sciences
  • Zoltan Nochta Karlsruhe University of Applied Sciences
  • José Antonio Peregrina Pérez Karlsruhe University of Applied Sciences
  • Tim Piotrowski Karlsruhe University of Applied Sciences
  • Ioan Szilagyi Neomia.ai
  • Oliver Waldhorst Karlsruhe University of Applied Sciences
  • Jochen Wendel INIT GmbH
  • Oliver Wolf raumobil GmbH
  • Christian Zirpins Karlsruhe University of Applied Sciences

DOI:

https://doi.org/10.60643/urai.v2023p194

Keywords:

Continuous Authentication, Federated ML, Public Transport and Mobility

Abstract

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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Published

13.05.2025