AN ONTOLOGY-BASED INTRUSION DETECTION FOR VEHICULAR AD HOC NETWORKS

A vehicular ad hoc network (vanet) is an independent system of vehicles connected by wireless connection to form a network. This type of network is used to reduce the number of accidents via the exchange of alert messages between the neighborhood vehicles. These alert messages constitute an ideal target for attacks that aim to prevent them to reach their destinations, and thereby endangering human lives. In vanet ,intrusion detection has become an indispensable defense line in face of vulnerabilities such as high mobility, shared wireless medium and the absence of centralized security services offered by dedicated equipment , where authentication and access control mechanisms routinely prove inadequate in preventing new and increasingly numerous and disastrous attacks .However, when we think to deploy an ids the major problem rest the characterization of an intrusion. The use of a semantic resource such as ontology could be an effective way to enrich data about intrusions to respond more specifically to complex questions about the definition, nature, characteristic of the intrusion. In this paper, an ontology for vanets Security has been modeled and specified using Web Ontology Language (OWL). The aim is to provide a complete classification which takes into account the impact of attacks and intrusions on the offered service, in terms of functionality implemented in routing protocols and other applications.