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...
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| Format: | Thesis |
| Language: | English |
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2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/83807/ http://psasir.upm.edu.my/id/eprint/83807/1/FSKTM%202019%2010%20-%20IR.pdf |
| _version_ | 1848859640388911104 |
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| author | Apandi, Mohamad Aiman Hanif |
| author_facet | Apandi, Mohamad Aiman Hanif |
| author_sort | Apandi, Mohamad Aiman Hanif |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T12:32:33Z |
| format | Thesis |
| id | upm-83807 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:32:33Z |
| publishDate | 2019 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-838072020-10-21T07:50:27Z http://psasir.upm.edu.my/id/eprint/83807/ Performance analysis on detection and prevention of wormhole attack in wireless network 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. 2019-06 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/83807/1/FSKTM%202019%2010%20-%20IR.pdf Apandi, Mohamad Aiman Hanif (2019) Performance analysis on detection and prevention of wormhole attack in wireless network. Masters thesis, Universiti Putra Malaysia. 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 |
| title | 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_short | 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 |
| topic | Wireless sensor networks - Security measures Wireless sensor networks |
| url | http://psasir.upm.edu.my/id/eprint/83807/ http://psasir.upm.edu.my/id/eprint/83807/1/FSKTM%202019%2010%20-%20IR.pdf |