GNSS Spoofing Detection via Motion Sensor Comparison
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Solution Overview
Problem
Global Navigation Satellite Systems (GNSS) are vulnerable to spoofing attacks, which can lead to inaccurate positioning and potential accidents, as existing technologies fail to effectively detect and mitigate false GNSS signals.
Innovation Solution
The proposed solution involves receiving GNSS signals through a GNSS antenna and comparing the movement data derived from these signals with data from motion sensors like accelerometers and gyroscopes, determining if the difference exceeds threshold values to indicate potential spoofing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If GNSS signals are used to determine position and movement, then navigation capability is provided, but the system becomes vulnerable to spoofing attacks causing inaccurate positioning
Solution Approach 1:
The patent introduces motion sensors (accelerometers, gyroscopes, magnetometers) as intermediary devices that independently measure device movement. These sensor measurements serve as a mediator to verify GNSS-derived movement data, detecting discrepancies that indicate spoofing attacks without replacing the GNSS navigation function.
Solution Approach 2:
The system continuously compares movement data from motion sensors with movement data derived from GNSS signals, creating a feedback loop. When discrepancies exceed a threshold, the system generates a spoofing indication, providing real-time verification and enabling corrective actions to maintain navigation reliability.
2Measurement precision
If motion sensors are added to detect spoofing, then detection capability is improved, but device complexity increases
Solution Approach 1:
The patent leverages motion sensors that are already present in modern mobile devices for other functions (screen orientation, step counting, gaming). By repurposing these existing sensors for spoofing detection, the system improves measurement precision without significantly increasing device complexity, as the sensors serve multiple functions.
Solution Approach 2:
The system uses the device's own existing motion sensors to detect spoofing attacks, eliminating the need for dedicated external detection hardware. The sensors already embedded in the device for other purposes are utilized to provide spoofing detection capability, reducing overall system complexity.
Data Source
AI summary
Techniques disclosed herein are directed to detect the presence of false, incorrect, or spoofed Global Navigation Satellite Systems (GNSS) signals. Embodiments may comprise receiving, at a mobile device, a global navigation satellite system (GNSS) signal via a GNSS antenna of the mobile device; determining first movement data based on the GNSS signal; determining second movement data based on data from one or more motion sensors of the mobile device, wherein the first movement data and the second movement data each comprise respective movement-related information regarding the mobile device during a time period; and providing an indication that GNSS error is occurring based on a determination that a difference between first movement data and the second movement data exceeds a threshold.