Reliable Reputation-Based Event Detection in V2V Networks

Abstract

Technological advances in automotive and vehicle-to-vehicle communication paradigms promise the implementation of increasingly advanced services to make driving safer and more aware of events such as traffic congestion and road hazards. The detection and dissemination of reliable information about road events is of paramount importance to avoid unpleasant and potentially dangerous situations caused by the dissemination of false messages from unreliable or intentionally tampered vehicles. This paper proposes an event detection system based on reliable data dissemination, exploiting a fully distributed reputation and trust mechanism. Experiments conducted on a dataset containing realistic vehicle tracks on real-world maps demonstrate the system’s ability to withstand the presence of up to 30% of attackers orchestrated to propagate false events without significant performance degradation.