SAMA: Security-Aware Monitoring Approach for Location Abusing and UAV GPS-Spoofing Attacks on Internet of Vehicles

The quick revolution on the wireless communication technologies had opened the gate towards promising implementations; Vehicular-Ad-hoc Networks (VANETs) and the safety-enhancing applications provided by the Internet of Vehicles (IoV) paradigm are one of them. By periodically broadcasting safety-beacons, vehicles can ensure a better safety-driving experience since beacons contain fine-grained location that is sent to the neighborhood. Nevertheless, some attacks basing on falsify or encrypt location-related data are threatening the road-safety considerably. In this paper, and by assuming a GPS-spoofing attack originated from Unmanned-Aircraft-Vehicles (UAV) system, we provide a Security-Aware Monitoring Approach (SAMA) that protects vehicles against such location abusing by allowing the Law-Side Authority (LSA) to monitor the potential malicious or tricked vehicles. SAMA is Implemented using the triangulation concept via Received-Signal-Strength-Indicator (RSSI) in conjunction with C++ map and multimap data-structures. The performances of SAMA are evaluated in terms of location-estimation precision and beacons collection per type.