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GNSS vulnerabilities and vehicle applications

Authors: Hirofumi Onishi; Kazuo Yoshida; Takeshi Kato;

GNSS vulnerabilities and vehicle applications

Abstract

The progress of vehicle-automation requires vehicle location with higher accuracy, shorter time-delay, and higher time-resolution, furthermore, many safety connected-vehicle applications, for example, crash-warning with vehicle-to-vehicle communication require more accurate time-stamps on the data from individual vehicles. Therefore, GNSS (Global Navigation Satellite System) typified by GPS (Global Positioning System) which is currently applied to non-safety vehicle applications, has to detect more accurate location with shorter time-delay and higher time-resolution. However, the low signal strength of GNSS reception-signals on the earth and the widely disclosed GNSS signal format bring vulnerabilities of signal jamming and location/clock spoofing. In this report, first, we examine accuracy, latency, and time-resolution requirements of location-detection on each vehicle application which (may) use GNSS. Then we discuss how GNSS vulnerabilities may harm vehicle applications. Finally, we conclude this report with various technical countermeasures and government/industry initiatives against these GNSS vulnerabilities.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Top 10%
Average
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