Intrusion Detection in VANETs

Overview

Vehicular Ad hoc NETworks (VANETs) have great potential to improve road safety and increase passenger convenience in vehicles. On the other hand, since they use an open medium for communication, they are exposed to several threats that influence the reliability of these features. This paper presents a modular cross layer intrusion detection approach as a method to increase security in VANETs. The approach makes use of context information from systems such as GPS, radar or sensors, to evaluate the plausibility of information received via the network. The goal is to combine events on different layers and from different entities, in order to detect abuse and intrusion.