Performance analysis on detection and prevention of wormhole attack in wireless network

In the wireless network, there is an attack called Wormhole attack that capable in confusing the route of packets during packet transmission and causing data loss. Ad hoc On-Demand Distance Vector (AODV) is routing protocol is usually where the Wormhole attacks happen. This routing protocol is desig...

Full description

Saved in:

Bibliographic Details
Main Author:	Apandi, Mohamad Aiman Hanif
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Wireless sensor networks - Security measures Wireless sensor networks
Online Access:	http://psasir.upm.edu.my/id/eprint/83807/1/FSKTM%202019%2010%20-%20IR.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-upm-ir.83807
record_format	uketd_dc
spelling	my-upm-ir.838072020-10-21T07:50:27Z Performance analysis on detection and prevention of wormhole attack in wireless network 2019-06 Apandi, Mohamad Aiman Hanif In the wireless network, there is an attack called Wormhole attack that capable in confusing the route of packets during packet transmission and causing data loss. Ad hoc On-Demand Distance Vector (AODV) is routing protocol is usually where the Wormhole attacks happen. This routing protocol is designed for Mobile Ad hoc Network (MANET) and wireless. Ad hoc is a decentralised wireless network which not rely to another device such as router. Due to the use of AODV protocol with limited security during packet delivery, wireless network often suffers from Wormhole attack which causes significant performance restrictions such as low throughput, high end-to-end packet delay and low packet delivery ratio. This project explained the performance analysis on detect and prevent of Wormhole attack in MANET by using tunnelling method among neighbour nodes in AODV protocol environment to ensure the packets safely delivered to destination. The system will prevent Wormhole node remain in the network, which surely improves the performance of wireless network. The simulation experiments using Network Simulator 2 (NS2) have been carried out to analyse the performance of the proposed work. The simulation results show that the proposed work outperforms because the increase numbers of throughput about 36 percent and packet delivery ratio increase 90 percent compared to when Wormhole node in the network. In addition, the proposed work also reduces the end-to-end packet delay about 64 percent compared to before proposed work being implemented. As a result, wireless network communication using AODV protocol now more safe and secure due to malicious attack cannot enter into the system. Wireless sensor networks - Security measures Wireless sensor networks 2019-06 Thesis http://psasir.upm.edu.my/id/eprint/83807/ http://psasir.upm.edu.my/id/eprint/83807/1/FSKTM%202019%2010%20-%20IR.pdf text en public masters Universiti Putra Malaysia Wireless sensor networks - Security measures Wireless sensor networks Ayob, Fahrul Hakim
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
advisor	Ayob, Fahrul Hakim
topic	Wireless sensor networks - Security measures Wireless sensor networks
spellingShingle	Wireless sensor networks - Security measures Wireless sensor networks Apandi, Mohamad Aiman Hanif Performance analysis on detection and prevention of wormhole attack in wireless network
description	In the wireless network, there is an attack called Wormhole attack that capable in confusing the route of packets during packet transmission and causing data loss. Ad hoc On-Demand Distance Vector (AODV) is routing protocol is usually where the Wormhole attacks happen. This routing protocol is designed for Mobile Ad hoc Network (MANET) and wireless. Ad hoc is a decentralised wireless network which not rely to another device such as router. Due to the use of AODV protocol with limited security during packet delivery, wireless network often suffers from Wormhole attack which causes significant performance restrictions such as low throughput, high end-to-end packet delay and low packet delivery ratio. This project explained the performance analysis on detect and prevent of Wormhole attack in MANET by using tunnelling method among neighbour nodes in AODV protocol environment to ensure the packets safely delivered to destination. The system will prevent Wormhole node remain in the network, which surely improves the performance of wireless network. The simulation experiments using Network Simulator 2 (NS2) have been carried out to analyse the performance of the proposed work. The simulation results show that the proposed work outperforms because the increase numbers of throughput about 36 percent and packet delivery ratio increase 90 percent compared to when Wormhole node in the network. In addition, the proposed work also reduces the end-to-end packet delay about 64 percent compared to before proposed work being implemented. As a result, wireless network communication using AODV protocol now more safe and secure due to malicious attack cannot enter into the system.
format	Thesis
qualification_level	Master's degree
author	Apandi, Mohamad Aiman Hanif
author_facet	Apandi, Mohamad Aiman Hanif
author_sort	Apandi, Mohamad Aiman Hanif
title	Performance analysis on detection and prevention of wormhole attack in wireless network
title_short	Performance analysis on detection and prevention of wormhole attack in wireless network
title_full	Performance analysis on detection and prevention of wormhole attack in wireless network
title_fullStr	Performance analysis on detection and prevention of wormhole attack in wireless network
title_full_unstemmed	Performance analysis on detection and prevention of wormhole attack in wireless network
title_sort	performance analysis on detection and prevention of wormhole attack in wireless network
granting_institution	Universiti Putra Malaysia
publishDate	2019
url	http://psasir.upm.edu.my/id/eprint/83807/1/FSKTM%202019%2010%20-%20IR.pdf
_version_	1747813420303908864

Performance analysis on detection and prevention of wormhole attack in wireless network

Similar Items