Machine learning and location verification in vehicular networks

Ullah Ihsan, Robert Malaney, Shihao Yan

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

Abstract

Location information will play a very important role in emerging wireless networks such as Intelligent Transportation Systems, 5G, and the Internet of Things. However, wrong location information can result in poor network outcomes. It is therefore critical to verify all location information before further utilization in any network operation. In recent years, a number of information-theoretic Location Verification Systems (LVSs) have been formulated in attempts to optimally verify the location information supplied by network users. Such LVSs, however, are somewhat limited since they rely on knowledge of a number of channel parameters for their operation. To overcome such limitations, in this work we introduce a Machine Learning based LVS (ML-LVS). This new form of LVS can adapt itself to changing environments without knowing the channel parameters. Here, for the first time, we use real-world data to show how our ML-LVS can outperform information-theoretic LVSs. We demonstrate this improved performance within the context of vehicular networks using Received Signal Strength (RSS) measurements at multiple verifying base stations. We also demonstrate the validity of the ML-LVS even in scenarios where a sophisticated adversary optimizes her attack location.

Original languageEnglish
Title of host publication2019 IEEE/CIC International Conference on Communications in China (ICCC)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages91-95
Number of pages5
ISBN (Electronic)9781728107325, 9781728107318
ISBN (Print)9781728107332
DOIs
Publication statusPublished - 2019
Event2019 IEEE/CIC International Conference on Communications in China, ICCC 2019 - Changchun, China
Duration: 11 Aug 201913 Aug 2019

Publication series

Name
ISSN (Print)2377-8644

Conference

Conference2019 IEEE/CIC International Conference on Communications in China, ICCC 2019
CountryChina
CityChangchun
Period11/08/1913/08/19

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  • Cite this

    Ihsan, U., Malaney, R., & Yan, S. (2019). Machine learning and location verification in vehicular networks. In 2019 IEEE/CIC International Conference on Communications in China (ICCC) (pp. 91-95). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICCChina.2019.8855920