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Synthetic GNSS spoofing data generation using field recorded signals.

Abdul Malik Khan1, Naveed Iqbal1, Muhammad Faisal Khan1

  • 1National University of Sciences and Technology, Islamabad, Pakistan.

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|October 27, 2018
PubMed
Summary

This study introduces a novel method for generating realistic Global Navigation Satellite System (GNSS) spoofing data using real-world signals. This approach aids in developing and testing advanced GNSS spoofing detection techniques.

Keywords:
GNSS Spoofing Data SynthesisGNSS spoofingGlobal Navigation Satellite SystemSynthetic data generation

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Area of Science:

  • Navigation systems
  • Signal processing
  • Cybersecurity

Background:

  • Increasing reliance on Global Navigation Satellite System (GNSS) necessitates robust security measures.
  • GNSS spoofing poses significant risks, yet real-world attack data is scarce, limiting research.
  • Existing spoofing studies often rely on simplified simulations, lacking real-world complexities.

Purpose of the Study:

  • To present a practical method for generating realistic baseband spoofing data for GNSS.
  • To enable the creation of verifiable spoofing attacks using real-world signal recordings.
  • To facilitate the development and validation of advanced spoofing detection algorithms.

Main Methods:

  • Simultaneous recording of GNSS signals using two receivers: one simulating the attacked receiver, the other the spoofer.
  • Merging recorded signals to generate baseband spoofing data.
  • Validating the generated spoofing signals against established detection methods.

Main Results:

  • Successful generation of baseband spoofing data incorporating real-world signal disturbances.
  • The developed method is cost-effective, requiring no expensive hardware.
  • Provides user control over spoofing power advantage and allows scenario reproducibility.

Conclusions:

  • The presented method offers a viable approach to creating realistic GNSS spoofing signals for research and development.
  • This technique enhances the ability to test and improve GNSS spoofing detection systems.
  • Facilitates more effective cybersecurity strategies for navigation systems.