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Detection of Induced GNSS Spoofing Using S-Curve-Bias.

Wenyi Wang1, Na Li2, Renbiao Wu3

  • 1Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China. wenyi_wang@126.com.

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|March 1, 2019
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Summary

This study introduces a new method to detect induced spoofing attacks in Global Navigation Satellite System (GNSS) receivers. The technique uses S-curve-bias (SCB) to identify subtle signal manipulations, enhancing navigation system security.

Keywords:
S-curve-bias (SCB)Texas spoofing test battery (TEXBAT)global navigation satellite system (GNSS)induced spoofing

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Area of Science:

  • Navigation Systems
  • Signal Processing
  • Cybersecurity

Background:

  • Global Navigation Satellite System (GNSS) spoofing attacks involve forged signals that can lead to incorrect position or timing information.
  • Induced spoofing is a sophisticated attack that gradually manipulates receiver tracking loops, making it difficult to detect compared to simplistic methods.

Purpose of the Study:

  • To propose a novel method for detecting induced spoofing attacks in GNSS receivers.
  • To leverage the dynamic characteristics of induced spoofing for detection.

Main Methods:

  • Theoretical derivation of S-curve-bias (SCB) during the induced spoofing process.
  • Definition of a detection metric based on SCB to identify induced spoofing.
  • Experimental validation using the Texas spoofing test battery (TEXBAT).

Main Results:

  • The proposed method effectively utilizes the dynamic nature of induced spoofing for detection.
  • Experimental results demonstrate the effectiveness of the SCB-based detection algorithm.
  • The developed technique offers a more robust solution against advanced spoofing attacks.

Conclusions:

  • The S-curve-bias (SCB) based detection method provides a viable approach to counter induced spoofing in GNSS.
  • This research contributes to improving the resilience and security of navigation systems against sophisticated cyber threats.