Advanced smartphone-based identification of transport modes: resilience under GNSS-Based attacks

Estefania Munoz Diaz (1) , Jose Manuel Rubio Hernan (2, 3, 4) , Francisco Jurado Romero (1) , Aicha Karite (1) , Alexandre Vervisch-Picois (2, 3, 4) , Nel Samama (2, 3, 4)

1 KN - DLR Institute of Communications and Navigation [Oberpfaffenhofen-Wessling]
2 IP Paris - Institut Polytechnique de Paris
3 TSP - EPH - Département Electronique et Physique
4 ISTeC-SAMOVAR - Information, Signal et Technologies des Communications

One of the main challenges for ticketing in Mobility as a Service is the integration of the public and individual transport modes into a unified ticketing service. To realize this concept, a trustworthy identification of transport modes that is resilient to possible attacks is required. In this work, we propose two smartphone-based methods to seamlessly identify the use of trams, buses, subways, walking and bicycles, which are able to detect GNSS-based attacks and continue to provide a trustworthy identification of transport modes. We have recorded real-world measurements with commercial smartphones using the transport network in Munich and Paris. Our results show that it is possible to provide trustworthy identification of transport modes even when the system is under attack. In conclusion, in this work we demonstrate the vulnerability of smartphone-based ticketing to GNSS-based attacks, propose two methods to overcome this vulnerability and demonstrate the validity of our methods with real-world measurements.

Mots clés: spoofing; MaaS; e-ticketing; smart mobility; spoofing MaaS e-ticketing smart mobility

Domaines: Sciences de l'ingénieur [physics]

Estefania Munoz Diaz, Jose Manuel Rubio Hernan, Francisco Jurado Romero, Aicha Karite, Alexandre Vervisch-Picois, et al.. Advanced smartphone-based identification of transport modes: resilience under GNSS-Based attacks. Future Transportation, 2023, 3 (2), pp.568-583. ⟨10.3390/futuretransp3020033⟩. ⟨hal-04091479⟩