Most vehicular applications in electric vehicles use IEEE 802.11p protocol for vehicular communications. Vehicle rebalancing application is one such application that has been used by many car rental service providers to overcome the disparity between vehicle demand and vehicle supply at different charging stations. Vehicle rebalancing application uses the GPS location data of the vehicles periodically to determine the vehicle(s) to be moved to a different charging station for rebalancing. However, a malicious attacker residing in the network can spoof the GPS location data packets of the target vehicle(s) resulting in misinterpretation of the location of the vehicle(s). This can result in wrong rebalancing decision leading to unmet demands of the customers and under utilization of the system. To detect and prevent this attack, we propose a location tracking technique that can validate the current location of a vehicle based on its previous location and roadmaps. We used OpenStreetMap and SUMO simulator to generate the roadmap data from the roadmaps of Singapore. Extensive experiments on the generated datasets show the efficacy of our proposed technique.

翻译：大多数电动汽车中的车载应用使用IEEE 802.11p协议进行车辆通信。车辆再平衡应用便是其中之一，已被许多汽车租赁服务提供商用于克服不同充电站之间车辆供需不平衡的问题。车辆再平衡应用定期使用车辆的GPS位置数据来确定需要移动到不同充电站进行再平衡的车辆。然而，存在于网络中的恶意攻击者可以欺骗目标车辆的GPS位置数据包，从而导致对车辆位置的误判。这可能引发错误的再平衡决策，导致客户需求无法满足以及系统利用率低下。为了检测并防止此类攻击，我们提出了一种位置追踪技术，该技术能够基于车辆先前的位置和道路地图来验证其当前位置。我们使用OpenStreetMap和SUMO模拟器，根据新加坡的道路地图生成了道路地图数据。在生成的数据集上进行的大量实验证明了我们提出的技术的有效性。