Folarin, Samuel (2019) Improved SSL/TLS Man-in-the-middle attack detection technique using timing analysis and other behavioral anomalies. Masters thesis, Dublin, National College of Ireland.
Preview |
PDF (Master of Science)
Download (1MB) | Preview |
Abstract
Even with the necessary protection that the TLS protocol is assumed to provide, data communications and financial transactions carried out online have been noted to be at great risk due to the impending danger of Man-in-the-middle attacks. This research was conducted to confirm the possibility of mitigating the continuous threat that attacks such as the man-in-the-middle constitute to the SSL and TLS key exchange by analyzing differences in time and other possible behavioral anomalies between a simulated attack and a standard SSL session through the use of machine learning. The results gotten in this research have been used to demonstrate the successful implementation of an improved SSL/TLS MiTM detection system.
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 T Technology > T Technology (General) > Information Technology > Computer software 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: | Caoimhe Ní Mhaicín |
Date Deposited: | 15 Oct 2019 13:06 |
Last Modified: | 15 Oct 2019 13:06 |
URI: | https://norma.ncirl.ie/id/eprint/3901 |
Actions (login required)
View Item |