Security-Aware Monitoring Approach for Location Abusing and Suspicious Behavior in Internet of Vehicles

Abstract

The fast and huge revolution on the wireless communication technologies and embedded systems had opened the gate towards promising implementations and applications; 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 as these beacons contain fine-grained location spread next to the neighborhood. Nevertheless, some attacks that modify, remove and encrypt location-related data included in beacons are threatening the road-safety considerably. In this paper, we provide a Security-Aware Monitoring Approach (SAMA) that protects against such a location abusing by allowing the Law-Side Authorities (LSAs) to monitor the potential malicious vehicles. SAMA is Implemented using the well-known 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 (mono, duo and triangulation).