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Performance Evaluation of Global Trust Management in MANETs Routing Protocols

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

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This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by Springer, 2023.

For re-use rights please refer to the publisher's terms and conditions.


Abstract

This paper presents a comprehensive trust management strategy for MANETs, concentrating on developing, assessing, and comparing global trust management mechanisms for the Ad-hoc On-demand Distance Vector (AODV) routing protocol. The research introduces a novel trust-based routing protocol called GTAODV, which builds upon the standard AODV protocol. GTAODV incorporates direct, indirect, and global trust mechanisms to evaluate the reliability of nodes when forwarding packets.This study aims to contribute to ongoing efforts in creating more secure, robust, and efficient ad-hoc networking solutions by focusing on the performance of MANET routing protocols when subjected to black hole attacks. Using Network Simulator 3 (NS-3), the performance of AODV and GTAODV is evaluated and compared. The experimental results demonstrate the effectiveness of the GTAODV protocol in countering black hole attacks, highlighting its potential to enhance the security and reliability of MANETs.


Publication metadata

Author(s): Jari H, Thomas N

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Computer Performance Engineering and Stochastic Modelling: 19th European Performance Engineering Workshop (EPEW 2023)

Year of Conference: 2023

Pages: 383-397

Print publication date: 07/10/2023

Online publication date: 07/10/2023

Acceptance date: 07/10/2023

Date deposited: 27/11/2023

ISSN: 0302-9743

Publisher: Springer

URL: https://doi.org/10.1007/978-3-031-43185-2_26

DOI: 10.1007/978-3-031-43185-2_26

ePrints DOI: 10.57711/ye08-xc81

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science

ISBN: 9783031431845


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