ADLS: Attack Detection for Wireless Localization Using Least Squares

Abstract

Obtaining accurate positions of wireless devices is critical for location-dependent services. However, as more location-based services are deployed, the more tempting the localization service is as a target for malicious attacks. In this work, we propose an attack detection scheme using least squares (ADLS) for localization in wireless networks. ADLS is based on statistical significance testing. We provide both a theoretical formulation and analytic solution for our ADLS scheme. We further conducted a trace-driven evaluation by applying signal strength attacks to real data collected in an office building. Our experimental study provides strong evidence for the effectiveness of ADLS with high detection rates and low false positive rates