Characterization and detection of location spoofing attacks


With the proliferation of various wireless devices, there's an increasing concern about the safety of location data that will be spoofed or disrupted by adversaries. This paper investigates the characterization and detection of location spoofing attacks, specifically those which are attempting to falsify (degrade) the position estimate through signal strength primarily based attacks. Since the physical-layer approach identifies and assesses the safety risk of position info based solely on using received signal strength (RSS), it is applicable to nearly any sensible wireless network. During this paper, we tend to characterize the impact of signal strength and beamforming attacks on vary estimates and also the ensuing position estimate. It's shown that such attacks will be characterised by a scaling issue that biases the individual range estimators either uniformly or selectively. We then identify the more severe varieties of attacks, and develop an attack detection approach which will not depend on a priori knowledge (either statistical or environmental). The ensuing approach, which exploits the dissimilar behavior of 2 RSS-primarily based estimators when below attack, is shown to be effective at detecting both sorts of attacks with the detection rate increasing with the severity of the induced location error.

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