RadioNet: Robust Deep-Learning Based Radio Fingerprinting
Author:
Affiliation:
1. University of Cincinnati
2. University of Nebraska-Lincoln
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9947203/9947223/09947255.pdf?arnumber=9947255
Reference29 articles.
1. Chameleons' Oblivion: Complex-Valued Deep Neural Networks for Protocol-Agnostic RF Device Fingerprinting
2. Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting
3. RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms
4. Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNN
5. DeepLoRa
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1. No Blind Spots: On the Resiliency of Device Fingerprints to Hardware Warm-Up Through Sequential Transfer Learning;Proceedings of the 17th ACM Conference on Security and Privacy in Wireless and Mobile Networks;2024-05-27
2. Cross-domain, Scalable, and Interpretable RF Device Fingerprinting;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20
3. CNN based Modulation classifier and Radio Fingerprinting for Electronic Warfare Systems;2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2024-05-14
4. RF-TESI: Radio Frequency Fingerprint-based Smartphone Identification under Temperature Variation;ACM Transactions on Sensor Networks;2024-01-10
5. Reciprocal Altruism as a Rogue Node Detection Mechanism in Dynamic Spectrum Access Networks;2024 IEEE 21st Consumer Communications & Networking Conference (CCNC);2024-01-06
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