F-RouND: Fog-based Rogue Nodes Detection in Vehicular Ad hoc Networks

TL;DR

F-RouND is a fog-based scheme for detecting rogue nodes in VANETs that reduces processing delays, overhead, and false-positive rates, especially at high vehicle densities, improving road safety.

Contribution

The paper introduces F-RouND, a novel fog computing approach that dynamically leverages vehicle OBUs for efficient rogue node detection in VANETs.

Findings

45% lower processing delays compared to existing schemes

12% lower overhead at high vehicle densities

36% lower false-positive rate in simulations

Abstract

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.