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Quickest detection of GPS spoofing attack

Authors: Zhenghao Zhang; Matthew Trinkle; Lijun Qian; Husheng Li;

Quickest detection of GPS spoofing attack

Abstract

GPS is being increasingly used in critical infrastructures in modern society. Therefore, the reliability of GPS is extremely important. Recently, the vulnerability of GPS to a spoofing attack has been discussed in the literature. A malicious attacker may spoof a GPS receiver, causing it to provide incorrect navigation and timing information, which may lead to serious damage. Therefore, it is extremely important to detect spoofing attacks as quickly as possible. In this paper, we propose a quickest spoofing detection algorithm to combat GPS spoofing attacks. The experimental results demonstrate that the proposed algorithm can effectively detect the spoofing attack quickly after it occurs.

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    22
    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!
22
Top 10%
Top 10%
Average
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