Rogue Node Detection Based on a Fog Network Utilizing Parked Vehicles

Rogue nodes in the Internet of vehicles (IoV) bring traffic congestion, vehicle collision accidents and other problems, which will cause great social losses. Therefore, rogue node discovery plays an important role building secure IoV environments. Existing machine learning-based detection methods rely too much on historical data, these may lead to long network delay slow speed. Moreover, based Roadside Units (RSUs) have poor performance if number RSUs is insufficient. Based widespread presence ground vehicles, we propose a scheme fog formed by roadside parked vehicles. To achieve efficient discovery, composed stable dynamically established, each firstly collects information moving road its coverage range, then use U-test method determine parallel, so as find bad efficiently. Simulation results show that proposed algorithm has higher accuracy stability than schemes.