  Vehicular ad hoc networks (VANETs) facilitate vehicles to broadcast beacon
messages to ensure road safety. The rogue nodes in VANETs broadcast malicious
information leading to potential hazards, including the collision of vehicles.
Previous researchers used either cryptography, trust values, or past vehicle
data to detect rogue nodes, but they suffer from high processing delay,
overhead, and false-positive rate (FPR). We propose fog-based rogue nodes
detection (F-RouND), a fog computing scheme, which dynamically creates a fog
utilizing the on-board units (OBUs) of all vehicles in the region for rogue
nodes detection. The novelty of F-RouND lies in providing low processing delays
and FPR at high vehicle densities. The performance of our F-RouND framework was
carried out with simulations using OMNET++ and SUMO simulators. Results show
that F-RouND ensures 45% lower processing delays, 12% lower overhead, and 36%
lower FPR at high vehicle densities compared to existing rogue nodes detection
schemes.
