FWSResNet: An Edge Device Fingerprinting Framework Based on Scattering and Convolutional Networks
Author:
Affiliation:
1. Xi’an Jiaotong University,School of Information and Communications Engineering,Xi’an,China,710049
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9860273/9860350/09860472.pdf?arnumber=9860472
Reference24 articles.
1. Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting
2. Deep Learning for RF Fingerprinting: A Massive Experimental Study
3. Design of a Hybrid RF Fingerprint Extraction and Device Classification Scheme
4. A Practical Study Of Channel Influence On Radio Frequency Fingerprint Features
5. Improving the signal subtle feature extraction performance based on dual improved fractal box dimension eigenvectors
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1. LED-RFF: LTE DMRS-Based Channel Robust Radio Frequency Fingerprint Identification Scheme;IEEE Transactions on Information Forensics and Security;2024
2. A Channel Robust RF Fingerprint Identification Scheme for LTE Devices Based on DMRS Signals;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04
3. Radio frequency fingerprint identification for Internet of Things: A survey;Security and Safety;2023-09-18
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