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Tracking Spoofed Locations in Crowdsourced Vehicular Applications

Abstract : Position information is essential for many vehicular applications like traffic information and route planning but also for enabling vital network routing services. However, the accuracy of the latter is highly dependent of a precise location service which might be altered by attackers forging falsified position data. In this paper, we propose a new method for tracking and removing location spoofing anomalies in large scale position based services assuming no control of the communication infrastructure or additional hardware or software at the client side. Our system uses aggregation of location information combined with relevant stability metrics.
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https://hal.inria.fr/hal-01086974
Contributor : Jérôme François <>
Submitted on : Tuesday, November 25, 2014 - 12:12:15 PM
Last modification on : Thursday, July 9, 2015 - 2:41:07 PM
Long-term archiving on: : Friday, April 14, 2017 - 8:47:43 PM

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Lautaro Dolberg, Jérôme François, Thomas Engel. Tracking Spoofed Locations in Crowdsourced Vehicular Applications. Network Operations and management Symposium, May 2014, Krakow, Poland. pp.9, ⟨10.1109/NOMS.2014.6838252⟩. ⟨hal-01086974⟩

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