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Spoofing Detection Using GNSS/INS/Odometer Coupling for Vehicular Navigation.

Ali Broumandan1, Gérard Lachapelle2

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Summary
This summary is machine-generated.

This study introduces a new method for detecting Global Navigation Satellite System (GNSS) spoofing attacks using inertial measurement units (IMUs) and odometer data. The approach enhances navigation security by cross-checking GNSS with self-contained sensors.

Keywords:
IMUdetectionglobal navigation satellite systems (GNSS)spoofingvehicular navigation

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Area of Science:

  • Navigation Systems
  • Cybersecurity
  • Sensor Fusion

Background:

  • Accurate location information is crucial for intelligent applications like driverless cars.
  • Global Navigation Satellite Systems (GNSS) are increasingly used for autonomous navigation.
  • GNSS signal spoofing poses significant security and privacy risks, hindering reliable navigation.

Purpose of the Study:

  • To develop a robust spoofing detection method for GNSS receivers.
  • To enhance navigation security by utilizing self-contained sensors.
  • To evaluate the effectiveness of the proposed method in real-world vehicular environments.

Main Methods:

  • Proposed a spoofing detection approach based on consistency checks between GNSS and inertial measurement units (IMUs) / odometer outputs.
  • Independently analyzed GNSS and IMU/odometer measurements within an observation window.
  • Cross-checked GNSS solutions with inertial navigation solution (INS)/odometer mechanization for attack detection.

Main Results:

  • The proposed method demonstrated effective spoofing detection capabilities in real vehicular environments.
  • Performance was evaluated using mean spoofing detection time and receiver operation characteristics (ROC).
  • Successful detection was achieved in both sub-urban and dense urban settings.

Conclusions:

  • Utilizing self-contained sensors like IMUs and odometers provides a viable approach for GNSS spoofing detection.
  • The consistency check method offers a robust solution to mitigate navigation security threats.
  • This research contributes to more secure and reliable autonomous navigation systems.