Machine Learning-Based Threat Intelligence: Identifying and Classifying Network Attacks in Real Time

Ramesh, Vishwa (2025) Machine Learning-Based Threat Intelligence: Identifying and Classifying Network Attacks in Real Time. Masters thesis, Dublin, National College of Ireland.

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Abstract

This Research addresses the challenge of identifying malicious network activity by leveraging machine learning models to analyze network traffic. Traditional security tools encounters challenges when it comes to identifying new or emerging threats in real time. By using machine learning, it allows us to analyze network traffic, identify hidden attacks, and quickly respond to threats. This improves overall cybersecurity posture and helps to prevent data breaches and interruptions of service. A labeled intrusion detection dataset is used to preprocess and encode the relevant feature into a binary classification problem. The accuracy, precision, recall, F1 score, and AUC have been used in evaluating the three predictive models including Logistic Regression, Support Vector Machine (SVM), and a Neural Network in reality, in terms of applicability in securing networks.

The results demonstrate that the neural network outperforms traditional models in most evaluation criteria, particularly in balancing false positives and negatives, thus offering a robust solution for detecting anomalies in complex network environments. The results emphasize the operational benefits of threat intelligence systems for improving cybersecurity frameworks and also assist real-time intrusion detection systems.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Sahni, Vikas 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:	19 Aug 2026 15:09
Last Modified:	19 Aug 2026 15:09
URI:	https://norma.ncirl.ie/id/eprint/9551

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