Impact of Rushing attack on Multicast in Mobile Ad Hoc Network

TL;DR

This paper investigates how Rushing attacks impact multicast communication in mobile ad hoc networks, analyzing how node positions influence attack success rates across different network scenarios.

Contribution

It provides a detailed analysis of the Rushing attack's impact on multicast in MANETs, focusing on node position effects and comparing performance across scenarios.

Findings

Rushing attack success rate varies with node position.

Node proximity to sender or receiver affects attack effectiveness.

Performance differs across network scenarios.

Abstract

A mobile ad hoc network (MANETs) is a self-organizing system of mobile nodes that communicate with each other via wireless links with no fixed infrastructure or centralized administration such as base station or access points. Nodes in a MANETs operate both as host as well as routers to forward packets for each other in a multihop fashion. For many applications in wireless networks, multicasting is an important and frequent communication service. By multicasting, since a single message can be delivered to multiple receivers simultaneously. It greatly reduces the transmission cost when sending the same packet to multiple recipients. The security issue of MANETs in group communications is even more challenging because of involvement of multiple senders and multiple receivers. At that time of multicasting, mobile ad hoc network are unprotected by the attacks of malicious nodes because of vulnerabilities of routing protocols. Some of the attacks are Rushing attack, Blackhole attack, Sybil attack, Neighbor attack and Jellyfish attack. This paper is based on Rushing attack. In Rushing attack, the attacker exploits the duplicate suppression mechanism by quickly forwarding route discovery packets in order to gain access to the forwarding group and this will affect the Average Attack Success Rate. In this paper, the goal is to measure the impact of Rushing attack and their node positions which affect the performance metrics of Average Attack Success Rate with respect to three scenarios: near sender, near receiver and anywhere within the network. The performance of the Attack Success Rate with respect to above three scenarios is also compared.