Detecting and Localizing Wireless Spoofing Attacks
Abstract— Detecting and Localizing Wireless Spoofing Attacks. Wireless networks are vulnerable to spoofing attacks, which allows for many other forms of attacks on the networks. Although the identity of a node can be verified through < Final Year Projects 2016 > cryptographic authentication, authentication is not always possible because it requires key management and additional infrastructural overhead. In this paper we propose a method for both detecting spooﬁng attacks, as well as locating the positions of adversaries performing the attacks. We ﬁrst propose an attack detector for wireless spooﬁng that utilizes K-means cluster analysis. Next, we describe how we integrated our attack detector into a real time indoor localization system, which is also capable of localizing the positions of the attackers.