Performance analysis of aodv for wormhole attack using different mobility models
| dc.contributor.author | Kaur, Gurmeet | |
| dc.contributor.supervisor | Kaur, Amanpreet | |
| dc.date.accessioned | 2018-08-31T04:13:40Z | |
| dc.date.accessioned | 2024-08-14T05:02:52Z | |
| dc.date.available | 2018-08-31T04:13:40Z | |
| dc.date.available | 2024-08-14T05:02:52Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | Mobile Ad-Hoc Network (MANET) is a type of temporary wireless network, in which the nodes are mobile and have dynamic network topology. According to structural arrangement, wireless networks are classified into two main types: fixed infrastructure wireless networks and non-infrastructure wireless networks. Mobile Ad-Hoc Networks (MANETs) fall under the type of infrastructure less wireless networks. Mobile nodes can communicate to each other through wireless links in this type of an autonomous system. At any time, whenever required nodes can join or leave the network as nodes are free to move. Although various routing protocols are used in the communication process but those protocols have numerous security complexities. An intruder can perform many attacks (both active and passive attacks) through different security flaws. Wormhole attack is an active attack in the context of mobile ad-hoc networks that disrupts the normal routing functioning of any routing protocol. In this work, an attempt has been made to analyze and compare the performance of demand oriented or reactive routing protocol: Ad-hoc On Demand Distance Vector (AODV) with two approaches: AODV without wormhole attack and AODV under attack using two mobility models viz. Random Way Point Model and Reference Point Group Mobility Model. Evaluation of two examined approaches has been done in terms of performance metrics such as Average Throughput, PDR (Packet Delivery Ratio), Jitter, Average End to End Delay and Packet Drop Rate. An approach has also been used to analyze participated malicious nodes in the wormhole peer list. Along with this, the attack has been detected with the help of metrics such as Average Throughput, Average End to End Delay, Jitter and Packet Delivery Ratio. | en_US |
| dc.identifier.accessionno | T00151 | |
| dc.identifier.citation | Kaur, Gurmeet (2014) Performance analysis of aodv for wormhole attack using different mobility models. | en_US |
| dc.identifier.uri | http://10.2.3.109/handle/32116/1841 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Central University of Punjab | en_US |
| dc.subject | AODV | en_US |
| dc.subject | Average Throughput | en_US |
| dc.subject | Delay | en_US |
| dc.subject | Mobility | en_US |
| dc.subject | PDR | en_US |
| dc.subject | RPGM | en_US |
| dc.subject | RWP | en_US |
| dc.subject | Tunnel | en_US |
| dc.subject | Wormhole | en_US |
| dc.title | Performance analysis of aodv for wormhole attack using different mobility models | en_US |
| dc.type | Master Dissertation | en_US |
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