Toggle Main Menu Toggle Search

Open Access padlockePrints

Performance Evaluation of MANET Trust-based AODV Protocol in the Presence of Blackhole Attacks.

Lookup NU author(s): Dr Ali Alzahrani, Dr Hassan Jari, Dr Nigel Thomas

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

Mobile ad hoc networks (MANETs), also known as wireless ad hoc networks, are an emerging technology that neither it depends on fixed infrastructure nor requires a centralized administration mechanism. It is frequently composed of mobile devices, which can arrange themselves in various ways and operate without strict rules of network administration. Each node in a MANET can act as both as a router and as a host. MANETs face many performance issues so it needs to be enhanced to improve their performance such as adding a trust mechanism. In this paper, we compared the performance of the default AODV with AODV under blackhole attack. Also, we compared the performance of TRAODV under blackhole attack with AODV under black hole attack. We compared them under the effect of different mobility speed to see how the nodes mobility speed and blackhole attack will affect their performance by using the simulation tool NS-2.35. TRAODV is an enhanced version of AODV with a direct trust algorithm that improved the protocol route preference. Both the PDR and throughout in all the protocols start decrease as the node mobility speed increases. The overall evaluation shows that TRAODV performs better than AODV when they are under blackhole attack.


Publication metadata

Author(s): Alzahrani A, Jari H, Thomas N

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 36th Annual UK Performance Engineering Workshop

Year of Conference: 2020

Online publication date: 15/12/2020

Acceptance date: 07/12/2020

URL: https://www.researchgate.net/publication/347031001_Proceedings_of_the_36th_Annual_UK_Performance_Engineering_Workshop_UKPEW_2020


Share