Attack Detection and Prevention Using Machine Learning and Deep Learning Techniques

Abraham George, Achu (2024) Attack Detection and Prevention Using Machine Learning and Deep Learning Techniques. Masters thesis, Dublin, National College of Ireland.

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Abstract

This research seeks to offer a solution to the growing development of sound Intrusion Detection Systems( IDSs) to suit modern emerging threats such as sniffing and port scanning. A combined IDS is suggested using K-Nearest Neighbors (KNN) as well as Multilayer Perceptron (MLP) schemes in order to recognize network traffic as Allow, Deny, or Drop. When using the Internet Firewall dataset, feature scaling and feature selection transformations were performed for the sake of improving the models. With regards to the MLP model, the validation accuracy was 99.83%, and for the KNN was only 95.29% implying the benefits of both models. Furthermore, this study focuses on the network probing tools and machine learning as key approaches to sniffing detection. Green, clean, and user-friendly interface capabilities allow users to make predictions in real-time complete with probability scores. This work demonstrates how a machine learning approach can be integrated with deep learning to improve the level of intrusion detection for networks and offers a practical way towards secure networks in constantly evolving threat landscapes. The contributions fill the gap between the theoretical developments and systems to improve the effectiveness of adaptive and intelligent cybersecurity systems.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Lugones, Diego 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:	18 Jul 2025 08:56
Last Modified:	18 Jul 2025 08:56
URI:	https://norma.ncirl.ie/id/eprint/8183

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