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This study introduces a novel method to detect spoofing attacks on Global Navigation Satellite Systems (GNSS) using only receiver measurements. The technique effectively identifies malicious signals without requiring additional hardware, offering a low-cost solution for enhanced navigation security.

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Area of Science:

  • Navigation Systems
  • Signal Processing
  • Cybersecurity

Background:

  • Global Navigation Satellite Systems (GNSS) are susceptible to interference like jamming and spoofing due to weak signal strength.
  • Spoofing attacks are particularly challenging to detect, posing a significant threat to navigation system integrity.
  • Mobile receivers face additional difficulties in detecting spoofing due to unknown exact positions.

Purpose of the Study:

  • To develop a technique for detecting and mitigating spoofing signals in satellite navigation systems.
  • To address the challenge of spoofing detection in mobile receivers without relying on external hardware.
  • To propose a cost-effective solution applicable to general receivers.

Main Methods:

  • The proposed technique utilizes receiver measurements, specifically pseudorange data, to detect spoofing signals.
  • A "sliding window" approach is employed to set the monitoring interval for spoofing signal detection.
  • The method generates test statistics based on pseudorange measurements to discriminate spoofing signals.

Main Results:

  • The technique effectively discriminates spoofing signals using only standard receiver measurements.
  • No additional hardware is required, making the method suitable for low-cost implementation.
  • The sliding window approach enhances the reliability of spoofing detection.

Conclusions:

  • The developed technique offers a robust and cost-effective solution for detecting spoofing attacks on GNSS.
  • Its reliance solely on receiver measurements allows for broad applicability across various receiver types.
  • This method significantly improves the security and reliability of satellite navigation systems against spoofing threats.