PHYSICAL LAYER AUTHENTICATION: MITIGATING MITM AND EAVESDROPPING IN PUBLIC WLANS.

Abstract

The widespread proliferation of public Wi-Fi networks has created a pressing need for robust security measures to pro- tect user data from eavesdropping and Man-in-the-Middle (MitM) attacks. This research investigates the potential of Radio Frequency (RF) fingerprinting as a novel approach to address these challenges.

The primary objective of this research was to develop a system capable of identifying rogue access points mas- querading as legitimate Wi-Fi networks. By leveraging the unique RF signatures emitted by Wi-Fi devices, the system aims to detect and alert users to potential security threats.

The research methodology involved a multi-step process. Raw RF signals were captured from various Wi-Fi net- works using an NESDR mini 2 SDR and SDR# software. These signals were then analysed to extract distinctive features such as signal strength variations, frequency spectrum analysis, and modulation characteristics. The extracted features were combined to create unique fingerprints for each Wi-Fi device. These fingerprints were compared to a database of legitimate access points to identify rogue devices. The system's effectiveness in detecting rogue access points was rigorously tested. Through this research, a system was successfully developed that can accurately identify rogue access points based on their unique RF signatures.

The findings of this research contribute to the growing body of knowledge on public Wi-Fi security and offer a promising solution for mitigating the risks associated with eavesdropping and MitM attacks. By employing RF finger- printing techniques, this research provides a valuable tool for safeguarding user data and promoting a more secure online environment.