High-Performance and Robust Strategy of Active Location Detection in WLAN

Abstract

The development of wireless network technologies gives attackers the convenience to use advanced radio technologies to hide their positions in wireless networks. While location service is a hot research currently, there are few location strategies concentrate on locating an attacker equipped with advanced radio technologies. In order to locate the attackers and make a security wireless network environment, we present a localization strategy, named as Active Location Detection (ALD), to locate attackers, without depending on the true features of attackers’ signal. This process is robust against the attacks from these malicious users, using a finite horizon discrete Markov decision process (MDP). Furthermore, we qualitatively analyze the lower bound of ALD’s error rate. After our analysis, a common formula of the lower bound of ALD’s error rate is proved. Our simulations about ALD’s error rate demonstrate that ALD’s error rate is close to the lower bound of ALD’s error rate. As further noted, the theories about the lower bound of ALD’s error rate can also be applied to the range-free location systems.