mlsanityData to 14 Oct 2026

Noise-Robust Radio Frequency Fingerprint Identification Using Denoise Diffusion Model

arXiv 2503.05514 ↗First posted 7 Mar 2025eess.SP cs.AIcited by 2

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Abstract (arXiv)

Securing Internet of Things (IoT) devices presents increasing challenges due to their limited computational and energy resources. Radio Frequency Fingerprint Identification (RFFI) emerges as a promising authentication technique to identify wireless devices through hardware impairments. RFFI performance under low signal-to-noise ratio (SNR) scenarios is significantly degraded because the minute hardware features can be easily swamped in noise. In this paper, we leveraged the diffusion model to effectively restore the RFF under low SNR scenarios. Specifically, we trained a powerful noise predictor and tailored a noise removal algorithm to effectively reduce the noise level in the received signal and restore the device fingerprints. We used Wi-Fi as a case study and created a testbed involving 6 commercial off-the-shelf Wi-Fi dongles and a USRP N210 software-defined radio (SDR) platform. We conducted experimental evaluations on various SNR scenarios. The experimental results show that the proposed algorithm can improve the classification accuracy by up to 34.9%.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 10 of its 18 references that are in the map. First posted on arXiv 7 Mar 2025.

Builds on

10 of 18 references.

References · 10

  1. 2017Attention Is All You Needcited by 60,361
  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  3. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  4. 2020Denoising Diffusion Implicit Modelscited by 9,781
  5. 2024RF-Diffusion: Radio Signal Generation via Time-Frequency Diffusioncited by 42
  6. 2015Wireless Physical-Layer Identification: Modeling and Validationcited by 10
  7. 2020Eliminating the Barriers: Demystifying Wi-Fi Baseband Design and Introducing the PicoScenes Wi-Fi Sensing Platformcited by 10
  8. 2022Towards Receiver-Agnostic and Collaborative Radio Frequency Fingerprint Identificationcited by 6
  9. 2022Towards Length-Versatile and Noise-Robust Radio Frequency Fingerprint Identificationcited by 6
  10. 2024Towards Channel-Resilient CSI-Based RF Fingerprinting using Deep Learningcited by 1

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Cited by year

Citing papers per year: 2025: 2.

2 papers.

  1. 2025Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Artcited by 14
  2. 2025A Comprehensive Survey on Network Traffic Synthesis: From Statistical Models to Deep Learningcited by 2

Similar, not cited

Close in wording, no citation either way

  1. 2025Watermarking and Anomaly Detection in Machine Learning Models for LORA RF Fingerprinting
  2. 2025An Adversarial-Driven Experimental Study on Deep Learning for RF Fingerprinting
  3. 2026Physical-Layer Fingerprint-Space Capacity Analysis for 100BASE-TX Devices in IIoT ↗
  4. 2025HyDRA: A Hybrid Dual-Mode Network for Closed- and Open-Set RFFI with Optimized VMD
  5. 2026APEG: Adaptive Physical Layer Authentication with Channel Extrapolation and Generative AI
  6. 2024Wi-Fi-based Personnel Identity Recognition: Addressing Dataset Imbalance with C-DDPMs
  7. 2025Protocol-agnostic and Data-free Backdoor Attacks on Pre-trained Models in RF Fingerprinting
  8. 2025CoDiPhy: A General Framework for Applying Denoising Diffusion Models to the Physical Layer of Wireless Communication Systems