Identifying malicious attacks to wireless localization in bad channel conditions

Dawei Liu*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

Bad channel conditions can cause serious error in wireless localization. To identify this problem, current methods commonly make use of a consistency analysis. A similar consistency analysis has been adopted in recent studies of location spoofing to identify malicious users. Since they both utilize a consistency analysis, the following problem arise naturally - how to identify location spoofing in bad channel conditions? In this paper, we present an analysis on the degree of inconsistency. We show that location spoofing will be associated with an inconsistency different from the ones caused by bad channel conditions. Based on this property, we propose an identification method to location spoofing in bad channel conditions. Simulation in wireless sensor networks shows that the proposed method can achieve an average identification rate of 98% with 0% false alarm.

Original languageEnglish
Title of host publicationProceedings - 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages636-641
Number of pages6
ISBN (Electronic)9781479960354
DOIs
Publication statusPublished - 6 Feb 2015
Event11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2014 - Philadelphia, United States
Duration: 28 Oct 201430 Oct 2014

Publication series

NameProceedings - 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2014

Conference

Conference11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2014
Country/TerritoryUnited States
CityPhiladelphia
Period28/10/1430/10/14

Keywords

  • Bad channel conditions
  • Location spoofing
  • Wireless networks

Fingerprint

Dive into the research topics of 'Identifying malicious attacks to wireless localization in bad channel conditions'. Together they form a unique fingerprint.

Cite this