NORMA eResearch @NCI Library

Identification and Classification of IP Spoofing Man in the Middle Attack using Multilayer Perceptrons

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.

[img]
Preview
PDF (Master of Science)
Download (1MB) | Preview
[img]
Preview
PDF (Configuration manual)
Download (1MB) | Preview

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: http://norma.ncirl.ie/id/eprint/4483

Actions (login required)

View Item View Item