GNSS Spoofing Detection via Self-Consistent Verification of Receiver's Clock State.

Area of Science:

• Navigation Systems
• Signal Security
• Satellite Technology

Background:

• Global Navigation Satellite System (GNSS) signals are susceptible to spoofing attacks, leading to critical positioning errors and security risks.
• Existing detection methods often lack practicality or adaptability, relying on complex measurements or failing in diverse scenarios.

Purpose of the Study:

• To develop an efficient, reliable, and easily deployable spoofing detection method for GNSS receivers.
• To address the limitations of current detection techniques in terms of practicality and scenario adaptability.

Main Methods:

• Proposes a novel spoofing detection method: self-consistency verification of the receiver's clock state (SCV-RCS).
• Utilizes the cumulative difference between estimated clock bias and integrated clock drift as the core statistic.
• Monitors consistency in pseudorange and Doppler observations without requiring complex bias extraction or auxiliary hardware.

Main Results:

• SCV-RCS effectively detects anomalies in GNSS observations across various spoofing scenarios.
• Achieves a rapid alarm delay of less than or equal to 2 seconds.
• Demonstrates continuous alerting capability for both full-channel and partial-channel spoofing attacks.

Conclusions:

• SCV-RCS offers a robust and reliable solution for enhancing GNSS security against spoofing.
• The method's simplicity ensures easy deployment in diverse and challenging operational environments.