AN EFFICIENT MALICIOUS NODE DETECTION ALGORITHM FOR VEHICULAR ADHOC NETWORK

Vehicular Ad Hoc Networks (VANET) is a class of ad hoc networks that consist of vehicles and Roadside Units (RSU). VANET were originally created to enhance safety on the road using cooperative collision warning via Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication. Network management, congestion and collision control, environmental impact, MAC design and security are the challenging issues in vanet. Ensuring secure and trusted communications within vehicular ad hoc networks (VANET) is a complex task due to the different threats to be addressed. For this purpose, several trust models have been proposed to ensure security of vanet by identifying dishonest vehicles and revoking messages with malicious content. In the existing work event oriented Hybrid Trust Model (HTM) known as Vehicular Security through Reputation and Plausibility Check (VSRP) algorithm to quickly identify and isolate adversaries from the network. The limitation on this work is, it only identifies malicious node in black hole attack in V2I communication. In the proposed work, instead of maintaining long records of node details in central trusted authority, using admission controller, generate a random password by making trusted communication between V2V and also to detect malicious node in warm hole attack