Reinforcement Learning based Trust framework for MANET Environment
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...
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| Format: | Thesis |
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Curtin University
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/75346 |
| _version_ | 1848763471493070848 |
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| author | Rupasinghe, Prabath Lakmal |
| author_facet | Rupasinghe, Prabath Lakmal |
| author_sort | Rupasinghe, Prabath Lakmal |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:03:59Z |
| format | Thesis |
| id | curtin-20.500.11937-75346 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:03:59Z |
| publishDate | 2018 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-753462019-05-09T00:18:18Z Reinforcement Learning based Trust framework for MANET Environment Rupasinghe, Prabath Lakmal 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. 2018 Thesis http://hdl.handle.net/20.500.11937/75346 Curtin University fulltext |
| spellingShingle | Rupasinghe, Prabath Lakmal Reinforcement Learning based Trust framework for MANET Environment |
| title | Reinforcement Learning based Trust framework for MANET Environment |
| title_full | Reinforcement Learning based Trust framework for MANET Environment |
| title_fullStr | Reinforcement Learning based Trust framework for MANET Environment |
| title_full_unstemmed | Reinforcement Learning based Trust framework for MANET Environment |
| title_short | Reinforcement Learning based Trust framework for MANET Environment |
| title_sort | reinforcement learning based trust framework for manet environment |
| url | http://hdl.handle.net/20.500.11937/75346 |