Reinforcement Learning based Trust framework for MANET Environment
Access Status
Open access
Authors
Rupasinghe, Prabath Lakmal
Date
2018Supervisor
Iain Murray
Type
Thesis
Award
PhD
Metadata
Show full item recordFaculty
Science and Engineering
School
Electrical Engineering, Computing and Mathematical Science (EECMS)
Collection
Abstract
Mobile Ad-hoc Networks (MANET) are design and implemented without the need for any infrastructure support. The properties of MANET inherently provide greater challenges in areas like security and reliability. This thesis presents three security protocols which were developed for addressing the MANET security needs. A novel trust calculation methodology and intelligent secure route prediction was designed to an existing MANET routing protocol. These protocols will help to implement a trustworthy MANET, providing a dynamic and secure environment.
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