Modeling and Characterization of the Detection and Suppression of Bogus Messages in Vehicular Ad Hoc Networks

Abstract

It is very important to detect and prevent bogus messages (here called rumors) in vehicular ad hoc networks (VANETs) because such misbehaviors could cause road safety problems and even casualties. In this paper, we first propose an evolutionary public goods game (EPGG) model to detect bogus messages and stimulate nodes to implement data verification. When a node detects a rumor, it immediately broadcasts an anti-rumor. We here present a susceptible, immune, and neutral (SIN) rumor diffusion model to characterize the spread of rumors and anti-rumors. Moreover, we propose a dynamic, hierarchical public goods game (DHPGG) model to analyze the symbiosis and confrontation of rumors and anti-rumors. Simulation results show these models could detect and suppress rumors effectively in VANETs.