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2017-03-20
LeBlanc, Heath J., Hassan, Firas, Gomez, Edgar, Alsbou, Nesreen.  2016.  Inter-vehicle Communication Assisted Localization with Resilience to False Data Injection Attacks. Proceedings of the First ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services. :64–65.

Vehicle localization is important in many applications of vehicular networks. The Global Positioning System (GPS) has been critical for vehicle localization. However, the case where the GPS is spoofed through a false data injection attack can be lead to devastating consequences, especially in localization solutions that make use of cooperation among multiple vehicles. Hence, resilient localization algorithms are needed that can achieve a baseline of performance in the case of a false data injection attack. This poster presents preliminary results of an inter-vehicle communication assisted localization algorithm that is resilient to false data injection attacks for the vehicles not directly attacked. The algorithm makes use of V2V and V2I communication – along with on-board GPS receiver, odometer, and compass – to achieve precise localization results.