Detecting Location Spoofing using ADAS sensors in VANETs

Location information plays a vital role in vehicular ad-hoc networks (VANETs) as numerous applications are location dependent. Thus, it is essential to preserve the integrity of the location information of vehicles. With the advancement of the vehicular technologies, it is observed that advanced driver-assistance system (ADAS) sensors are being installed on vehicles. In this paper, we propose a detection mechanism of location spoofing by leveraging the on-board ADAS sensors. Under our proposed scheme, attacks based on location spoofing such as sybil attack could be efficiently detected using unique ADAS sensor data like fingerprint, without the involvement of the infrastructure and third party trusted authority.