Abstract
In Global Navigation Satellite System (GNSS), a spoofing attack consists of forged signals which possibly cause the attacked receivers to deduce a false position, a false clock, or both. In contrast to simplistic spoofing, the induced spoofing captures the victim tracking loops by gradually adjusting it’s parameters, e.g., code phase and power. Then the victims smoothly deviates from the correct position or timing. Therefore, it is more difficult to detect the induced spoofing than the simplistic one. In this paper, by utilizing the dynamic nature of such gradual adjustment process, an induced spoofing detection method is proposed based on the S-curve-bias (SCB). Firstly, SCB in the inducing process is theoretically derived. Then, in order to detect the induced spoofing, a detection metric is defined. After that, a series of experiments using the Texas spoofing test battery (TEXBAT) are performed to demonstrate the effectiveness of the proposed algorithm.
Highlights
Global navigation satellite system (GNSS) is a general term for various satellite-based navigation systems and their augmentation systems
We focus on the induced spoofing, e.g., GPS L1 C/A signals, where the counterfeit signals are consistent with the real ones, but transmitted with a single antenna
For most GNSS receivers, the received radio frequency (RF) signals will be converted to intermediate frequency (IF) signals
Summary
Global navigation satellite system (GNSS) is a general term for various satellite-based navigation systems and their augmentation systems. Several metrics are proposed in literature [29,30,31] These techniques, originally designed for multipath detection [32], were recently found to be useful to identify the deformation on the correlation function due to an intermediate spoofing attack. They generally have simple structures with low complexity, showing good feasibility. By utilizing the dynamic feature of gradual adjustment process, an induced spoofing detection method is proposed based on SCB.
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