Perfecting Intrusion Detection System using Machine Learning Algorithm

Rambob, Yogeshwar Bodicherla (2023) Perfecting Intrusion Detection System using Machine Learning Algorithm. Masters thesis, Dublin, National College of Ireland.

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Abstract

The Intrusion Detection System is used in many IT industries now a days. As it has been becoming a stronger and complete tool for detecting intruders, whoever tries to enter the system. In this study, had been still trying to make the Intrusion system stronger and more efficient by finding out the default issues in it and trying to mitigate it by using five algorithms against eight types of attacks like User Datagram Protocol, Domain Name System, Lightweight Directory Access Protocol, Network Basic Input/Output System, Simple Network Management Protocol, Network Time Protocol, and Gaussian Naive Bayes. Perform the evaluation for all the samples as mentioned. In this thesis, predicted three best algorithms from that and filtered the best algorithm from the three. On top of chosen one of the best, the Random Forest algorithm as it was occurring in multiple results and its performing is faster and better results compared to the others.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Mulwa, Catherine UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Algebra > Algorithms > Computer algorithms Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	21 May 2025 10:38
Last Modified:	21 May 2025 10:38
URI:	https://norma.ncirl.ie/id/eprint/7600

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