Optimizing Rogue Access Point Detection with CART and Deep Learning Techniques

Chauhan, Jay Manishkumar (2023) Optimizing Rogue Access Point Detection with CART and Deep Learning Techniques. Masters thesis, Dublin, National College of Ireland.

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Abstract

Wireless networks have become very common these days in various fields, such as big organizations, schools, and even public WiFi hotspots. These networks often handle the transfer of critical and sensitive information, making them targets for cybercriminals. The Rogue Access Point (RAP) used to subvert these networks are a very huge threat because this may cause great financial and personal loss due to theft of information. In addressing a pressing security challenge, this research presents comprehensive study of various models. The research evaluates the effectiveness of CART, FCNN and an Ensemble model (FCNN + XGBoost) using the AWID 3 dataset. The CART model showed remarkable accuracy and low false positives, making it highly suitable for real-world application. The FCNN provided insight into further refinement for this study, while the Ensemble model delivered a balanced performance in precision and recall. This study contributes significantly in the field of network security, offering advanced methodologies for Rogue Access Point detection and enhancing wireless network security against emerging threats.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Pantridge, Michael 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 H Social Sciences > HV Social pathology. Social and public welfare > Criminology > Crimes and Offences > Cyber Crime 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:	15 Apr 2025 13:56
Last Modified:	15 Apr 2025 13:56
URI:	https://norma.ncirl.ie/id/eprint/7428

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