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Wi-Fi Fingerprint Based Approach to Securing the Connected Vehicle Against Wireless Attack

机译:基于Wi-Fi指纹的方法,以防止连接的车辆免受无线攻击

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In this paper, we present wifi fingerprint-based approach to securing the connected vehicleagainst wireless attack. In current connected vehicles such as Tesla EV, Mitsubishi outlanderPHEV etc., there is a wi-fi access point on the vehicle to connect to the mobile device which hastelematics apps installed. And generally the wi-fi access point is managed by the head unitsystem in the vehicle. Currently, the headunit in the vehicle utilizes white-list that contain MACaddresses of the pre-registered (i.e authorized) device. However, the white-list basedmechanism cannot detect the device that forges its MAC address with authorized one. Thispaper presents security mechanism to detect rogue telematics device that has a spoofed (i.e,forged) MAC by analysing wi-fi fingerprint. We generate wi-fi fingerprint by analysing radiofrequency features such as error vector magnitude (EVM), frequency offset, I/Q offset, synccorrelation and so on. And we also utilizing distance information for improving detection ratio.The prototype of the proposed mechanism is implemented in this work, and we provideexperimental results.
机译:在本文中,我们展示了基于WiFi指纹的方法来保护连接的车辆的无线攻击。在当前连接的车辆(如Tesla EV,Mitsubishi Outlanderphev等)中,车辆上有一个Wi-Fi接入点连接到安装的移动设备,该移动设备安装了安装的应用程序。通常,Wi-Fi接入点由车辆中的头部单位系统管理。目前,车辆中的HeadUnit利用包含预先注册的(i.E.授权)设备的Macaddresses的白名单。但是,基于White-List的机制无法检测到具有授权授权其MAC地址的设备。此纸纸提供安全机制,以检测通过分析Wi-Fi指纹的盗窃(即伪造的)MAC的流氓远程信息处理设备。我们通过分析诸如误差矢量幅度(EVM),频率偏移,I / Q偏移,SyncCorrelation等的射频特征来生成Wi-Fi指纹。并且我们还利用距离信息来提高检测率。在这项工作中实施了所提出的机制的原型,我们提供了甲型治疗结果。

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