Robust statistical methods for securing wireless localization in sensor networks

Zang Li, Wade Trappe, Yanyong Zhang, Badri Nath

Research output: Chapter in Book/Report/Conference proceedingConference contribution

376 Scopus citations

Abstract

Many sensor applications are being developed that require the location of wireless devices, and localization schemes have been developed to meet this need. However, as location-based services become more prevalent, the localization Infrastructure will become the target of malicious attacks. These attacks will not be conventional security threats, but rather threats that adversely affect the ability of localization schemes to provide trustworthy location information. This paper identifies a list of attacks that are unique to localization algorithms. Since these attacks are diverse in nature, and there may be many unforseen attacks that can bypass traditional security countermeasures, it is desirable to alter the underlying localization algorithms to be robust to intentionally corrupted measurements. In this paper, we develop robust statistical methods to make localization attack-tolerant We examine two broad classes of localization: triangulation and RF-based fingerprinting methods. For triangulation-based localization, we propose an adaptive least squares and least median squares position estimator that has the computational advantages of least squares in the absence of attacks and is capable of switching to a robust mode when being attacked. We introduce robustness to fingerprinting localization through the use of a median-based distance metric. Finally, we evaluate our robust localization schemes under different threat conditions.

Original languageEnglish (US)
Title of host publication2005 Fourth International Symposium on Information Processing in Sensor Networks, IPSN 2005
Pages91-98
Number of pages8
DOIs
StatePublished - 2005
Event4th International Symposium on Information Processing in Sensor Networks, IPSN 2005 - Los Angeles, CA, United States
Duration: Apr 25 2005Apr 27 2005

Publication series

Name2005 4th International Symposium on Information Processing in Sensor Networks, IPSN 2005
Volume2005

Other

Other4th International Symposium on Information Processing in Sensor Networks, IPSN 2005
Country/TerritoryUnited States
CityLos Angeles, CA
Period4/25/054/27/05

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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