Abstract
Mobile ad-hoc networks are self-configuring and self-organizing networks connected by wireless links which create a random topology of mobile nodes. The topology of these networks changes rapidly in a dynamic fashion. Each node acts as a router because of the lack of infrastructure, and any nodes can join and leave the network at any time. Providing security to such networks is challenging.This thesis comprehensively investigates the security challenges posed by gray hole and wormhole attacks in Mobile Ad Hoc Networks (MANETs). These attacks exploit the inherent vulnerabilities in MANETs, such as their decentralised nature and dynamic topology, to disrupt network communication and degrade overall performance. The research utilises the Ad hoc On-Demand Distance Vector (AODV) routing protocol to analyse the impact of these attacks under various network conditions.
The primary objective of this study is to evaluate the effectiveness in identifying the effects of independent and collaborative gray hole and wormhole attacks. Extensive investigation and analysis were conducted to measure key performance metrics, including packet delivery ratio (PDR), network throughput, and routing overhead. The results demonstrate that both gray hole and wormhole attacks significantly impair network performance, with collaborative attacks exacerbating these effects. Notably, the work revealed increased packet loss, higher routing overhead, and reduced throughput in the presence of these attacks.
Through extensive simulations, this research evaluates the impact of these attacks individually and collaboratively using the Ad hoc On-demand Distance Vector (AODV) routing protocol. The research identifies and analyses critical symptoms associated with these attacks, such as increased packet loss, routing overhead and reduced throughput, providing a detailed understanding of their detrimental effects on MANETs.
A novel statistical model is developed to assess the impact of these attacks quantitatively. This model quantifies critical symptoms such as increased packet loss, higher routing overhead and decreased throughput. This research employs a Design of Experiments (DOE) framework to systematically evaluate the effects of various factors and their interactions, offering a structured approach to analyse complex attack scenarios. Lastly, the study offers practical recommendations for future research, emphasising the importance of scalability, real-world applicability, and energy efficiency in developing effective security solutions.
| Date of Award | 5 Jul 2024 |
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| Original language | English |
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| Supervisor | Shikun Zhou (Supervisor) & David Sanders (Supervisor) |