Efficient Cyber Threat Intelligence Automation using Machine Learning Algorithm

Salian, Likhith Umesh (2024) Efficient Cyber Threat Intelligence Automation using Machine Learning Algorithm. Masters thesis, Dublin, National College of Ireland.

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Abstract

This research attains the focus towards achieving the goal of enhancing the Cyber Threat Intelligence (CTI) automation capabilities by utilising Machine Learning. The CTI aims towards collecting, structuring, detecting, and analysing, the logs gathered from the Network Traffic Analysis tools like Snort. The Information Technology industry constantly faces high severity threats, considering the importance of ensuring the preparedness towards the various cyber threats occurring online. A Network Intrusion detection system will largely help in the detection and analysis of the suspected paranormal events by analysing the behavioural patterns in the logs. The gathered unstructured logs are generated through Snort by self-simulated threat incident from a local Kali Linux virtual machine. The logs are parsed changed to required structure of format which shall be analysed using the Unsupervised machine learning algorithm like k-means clustering algorithm. The resulting data is then represented graphically using a dashboard. This proposed model based on the K-means algorithms aims to provide security solution to businesses and small-scale IT companies in need to deploy its own automated CTI systems.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Hafeez, Khadija 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 > 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:	28 Jul 2025 10:39
Last Modified:	28 Jul 2025 10:39
URI:	https://norma.ncirl.ie/id/eprint/8253

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