Prevention Of Attack In Vehicular Adhoc Network Using Trust Model

TL;DR

This paper proposes a trust-based model to detect and eliminate malicious nodes in Vehicular Ad hoc Networks (VANETs), enhancing security and communication efficiency through simulation results.

Contribution

Introduces a trust model for VANETs to identify malicious nodes and improve network security and bandwidth, validated via ns2 simulation.

Findings

Improved bandwidth after trust level updates

Effective detection of malicious nodes

Enhanced security in VANET communication

Abstract

Vehicular ad hoc networks is a modern technology that holds an important aspect in the transportation domain due to its abilities to increase traffic efficiency and safety. It is a another variant of Mobile ad-hoc networks that provides Vehicles to Vehicles (V2V), Rode-side Unit to Road-side Unit(R2R) and Vehicles to road-side Unit (V2R) communication.VANET is a multidimensional network in which the vehicles ceaselessly alter their locations. Connected vehicles broadcast sensitive information which must be communicated with the neighbors in a safe and established environment. VANET may also contain dishonest nodes such as man in -the-middle attackers that aim to distribute and share malicious content with the vehicles, thus contaminating the network with secure information. In this situation implementing a trust among connected vehicles can raise security as every participating vehicle will create and propagate authentic, accurate,and trusted content within the network.In this paper we used a trust model to determine the trust level and eliminate the malicious nodes.We created a simulation for calculating the trust level and eliminating the malicious node in the wireless ad hoc networks using ns2 simulator and network animator(nam).The simulation results showed a better bandwidth in communication between the nodes after the trust level is updated