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Ajiginni, Adeola Daniel (2020) Identification and Classification of IP Spoofing Man in the Middle Attack using Multilayer Perceptrons. Masters thesis, Dublin, National College of Ireland.
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Abstract
With the protection wireless networks are assumed to provide, confidentiality and integrity are still under a concerning amount of threat due to the danger man-in-the-middle attacks pose. This study was carried out to confirm the likelihood of mitigating an ever-present threat like IP spoofing man-in-the-middle attack on a wireless network with the use of IP spoofed packet datasets to carry out future predictions with the use of machine learning. The outcome of this research is used to show a successful implementation of an IP spoofing man-in-the-middle classification and identification detection system.
Keywords: Machine learning, Man-in-the-middle attack, Datasets, Multilayer Perceptron, IP spoofing.
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security |
| Divisions: | School of Computing > Master of Science in Cyber Security |
| Depositing User: | Dan English |
| Date Deposited: | 26 Jan 2021 13:33 |
| Last Modified: | 26 Jan 2021 13:35 |
| URI: | https://norma.ncirl.ie/id/eprint/4483 |
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