CPU600 Project: Detecting and Preventing Evil Twin Attacks
VerifiedAdded on 2023/05/30
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Project
AI Summary
This project investigates and proposes solutions to enhance the security of wireless networks, specifically addressing the threat of evil twin attacks. The project leverages the Raspberry Pi platform to detect and prevent unauthorized access points that mimic legitimate networks, potentially capturing user traffic and sensitive information. The methodology involves building a Raspberry Pi-based system that identifies fake access points by analyzing probe requests and responses. The proposed solution is divided into two parts: one on the access point side and another on the operating system side. The project aims to improve the robustness of detection, mitigate security risks, and meet the needs of end-users by implementing security measures. The research also reviews existing literature on evil twin attacks, identifies security problems, and evaluates the overall project's effectiveness. The project also suggests methods for securing a local server, including blocking unauthorized access, limiting open ports, regularly changing passwords, and utilizing intrusion detection systems. The project emphasizes the importance of network security on both the client and server sides. The project concludes with the importance of securing the raspberry pi, and the devices connected to it, and provides a summary of best practices for securing a device, and the network.
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