GNSS Signal Authentication via Power and Distortion Monitoring
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Abstract (arXiv)
We propose a simple low-cost technique that enables civil Global Positioning System (GPS) receivers and other civil global navigation satellite system (GNSS) receivers to reliably detect carry-off spoofing and jamming. The technique, which we call the Power-Distortion detector, classifies received signals as interference-free, multipath-afflicted, spoofed, or jammed according to observations of received power and correlation function distortion. It does not depend on external hardware or a network connection and can be readily implemented on many receivers via a firmware update. Crucially, the detector can with high probability distinguish low-power spoofing from ordinary multipath. In testing against over 25 high-quality empirical data sets yielding over 900,000 separate detection tests, the detector correctly alarms on all malicious spoofing or jamming attacks while maintaining a <0.6% single-channel false alarm rate.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Feb 2017.
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Citing papers per year: 2025: 2; 2026: 4.
6 papers.
- 2026GAC-KAN: An Ultra-Lightweight GNSS Interference Classifier for GenAI-Powered Consumer Edge Devicescited by 5
- 2026SKANet: A Cognitive Dual-Stream Framework with Adaptive Modality Fusion for Robust Compound GNSS Interference Classificationcited by 4
- 2026PhyG-MoE: A Physics-Guided Mixture-of-Experts Framework for Energy-Efficient GNSS Interference Recognitioncited by 4
- 2025Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approachescited by 2
- 2025Quantum-Classical Hybrid Framework for Zero-Day Time-Push GNSS Spoofing Detectioncited by 0
- 2026SPOC-Net: Single-Primitive Online Composition Network for GNSS Jamming Set Recognitioncited by 0
- 2026SPOC-Net: Single-Primitive Online Composition Network for GNSS Jamming Set Recognition28 Sep 2026
- 2026GAC-KAN: An Ultra-Lightweight GNSS Interference Classifier for GenAI-Powered Consumer Edge Devices30 Jan 2026
- 2026PhyG-MoE: A Physics-Guided Mixture-of-Experts Framework for Energy-Efficient GNSS Interference Recognition19 Jan 2026
- 2026SKANet: A Cognitive Dual-Stream Framework with Adaptive Modality Fusion for Robust Compound GNSS Interference Classification19 Jan 2026
- 2025Quantum-Classical Hybrid Framework for Zero-Day Time-Push GNSS Spoofing Detection25 Aug 2025
- 2025Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches19 Jul 2025