Detection of wireless fake access points

Wireless networks have become a common part of everyone’s life who wants to connect to the Internet network. Despite the rapid development of wireless technologies, common users still do not pay much attention to the security questions. One of the most challenging security problems of Wi-Fi networks is to detect and prevent the fake access point attack. Existing solutions require the installation of proprietary hardware, protocol changes, measuring frame characteristics etc. Moreover, these solutions are strictly focused on an individual cyber attack detection. In this work, we propose our method that detects a fake access point and that allows the detection of multiple cyber attacks in local wireless networks. In our research, we focus on the detection of the fake access point attack, the KARMA attack, the frequency congestion attack and the de-authentication attack.