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Spoofing Attack Results Determination in Code Domain Using a Spoofing Process Equation.

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This summary is machine-generated.

This study introduces a spoofing process equation (SPE) to predict when a receiver tracking an authentic signal will switch to a spoofing signal. The SPE analyzes signal strength and other parameters to determine spoofing success conditions.

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GNSS receiverGNSS spoofingdelay lock loop

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Area of Science:

  • Signal processing
  • Navigation systems
  • Cybersecurity

Background:

  • User receivers track authentic signals, but are vulnerable to spoofing signals.
  • Understanding the conditions for successful signal spoofing is critical for navigation system security.

Purpose of the Study:

  • To develop a Spoofing Process Equation (SPE) for calculating the tracking point of a Delay Lock Loop (DLL) during a spoofing attack.
  • To analyze the conditions required for a successful spoofing signal transmission.
  • To establish correlations between key parameters and spoofing attack success.

Main Methods:

  • Development of the Spoofing Process Equation (SPE).
  • Analysis of parameters including signal strength, sweep velocity, loop filter order, and DLL bandwidth.
  • Simulation of spoofing scenarios to validate the SPE.

Main Results:

  • The SPE accurately calculates the DLL tracking point throughout the spoofing process.
  • Conditions for successful spoofing signal acquisition were identified using the SPE.
  • Correlations between parameters influencing spoofing success were established.
  • SPE demonstrated performance consistent with general DLL methods at a lower computational cost.

Conclusions:

  • The developed SPE provides a low-computational method for analyzing and predicting GPS spoofing success.
  • The SPE enables the determination of critical parameters for effective spoofing attack strategies.
  • This research contributes to understanding and mitigating vulnerabilities in navigation systems against spoofing threats.