Abstract
Satellite communication (SatCom) links leveraging multisource physical layer features provide critical authentication technology for secure satellite networks. However, the existing physical layer security (PLS) schemes suffer two major limitations: 1) most methods perform one-shot decisions without tracking trust evolution over changing link geometries and 2) fixed decision rules fail to accumulate evidence and degrade robustness when spoofing parameters adapt. We propose a multistage dynamic trust authentication framework. First, we introduce a multifeature statistical detection module that performs real-time preliminary authentication based on Doppler shifts and power residual analysis. Then, we design a particle-filtering-based trust-state estimation mechanism that fuses historical credibility with new observations via adaptive resampling, enabling continuous trust evolution and swift anomaly response. Experiments on system tool kit (STK)-simulated datasets demonstrate that the proposed method increases secure throughput by 5.5% and reduces false-alarm and missed-detection rates by 27% and 29%, respectively.
| Original language | English |
|---|---|
| Pages (from-to) | 7625-7638 |
| Number of pages | 14 |
| Journal | IEEE Internet of Things Journal |
| Volume | 13 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2026 |
| Externally published | Yes |
Keywords
- Doppler shift
- low Earth orbit (LEO)
- particle filtering
- physical layer security (PLS)
- satellite communication (SatCom)
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