Mitigation of Grayhole Attack in Vanet Using Clustering and Neighbour Node Information

VANET is the field of networking that deals with vehicles. In VANET it is a vehicular and ad-hoc network that works same as MANET, In VANET two types of communication occur between vehicles that is Vehicle to vehicle communication and vehicle to road side communication. In this paper to overcome this issue of malicious nodes available in VANET neighboring information of the nodes have been utilized. The attack nodes create fraudulent identities of other nodes to disrupt network, transmission and topologies. To remove the neighboring nodes information is collected and compared with the threshold values for detection of malicious node.