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. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1109/PERCOMW.2007.19 | PerCom Workshops |
Keywords | Field | DocType |
wireless device,location-based service,accurate position,wireless network,localization service,attack detection scheme,adls scheme,analytic solution,experimental study,high detection rate,wireless localization,degradation,statistical analysis,mathematical analysis,least square,detectors,data collection,location based service,statistical significance,signal strength,wireless networks,computer science,testing,false positive rate | Least squares,Wireless network,Radio networks,Wireless,Computer science,Computer network,Signal strength,Analytic solution,Detector,Statistical analysis | Conference |
ISBN | Citations | PageRank |
0-7695-2788-4 | 3 | 0.37 |
References | Authors | |
5 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yingying Chen | 1 | 2495 | 193.14 |
Trappe, Wade | 2 | 3814 | 236.68 |
Richard P. Martin | 3 | 1777 | 165.29 |