Supervised Learning on Active directory with overcoming cybersecurity challenges

Mabika, Mabika (2024) Supervised Learning on Active directory with overcoming cybersecurity challenges. Masters thesis, Dublin, National College of Ireland.

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Abstract

This research presents an analysis on the application of supervised learning techniques for threat detection in cybersecurity. With the increasing number of cases of cyber threats, many organizations face challenges in detecting these threats in time before they inflict harm. This research evaluates the integration of supervised learning models to address key cybersecurity challenges in Active Directory environments, such as unauthorized access, privilege escalation and anomalous behavior detection. Key findings reveal that various supervised learning algorithms such as support vector machine (SVM) networks in the detection of anomalous patterns, user behavior, and unauthorized access attempts. Additionally, the research discusses strategies to overcome challenges like feature selection and false positive rates, ultimately providing possible scenarios to experiment on supervised learning effectiveness using possible threats that can be inflicted on Active Directory, such as password spraying to check if supervised learning models are effective in minimizing the risks of cyber threats.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Sahni, Vikas UNSPECIFIED
Uncontrolled Keywords:	Active Directory; Supervised Learning; cyberthreats; fraudulent detection
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 Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Cyber Security
Depositing User:	Ciara O'Brien
Date Deposited:	23 Jul 2025 14:47
Last Modified:	23 Jul 2025 14:47
URI:	https://norma.ncirl.ie/id/eprint/8222

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