AI Generated Wireless Data for Enhanced Satellite Device Fingerprinting
Author:
Affiliation:
1. Knight Foundation School of Computing and Information Sciences, Florida International University,Miami,FL,33199
2. Auburn University,Department of Electrical and Computer Engineering,Auburn,AL,USA,36849
Funder
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10615255/10615259/10615581.pdf?arnumber=10615581
Reference19 articles.
1. Detecting Spoofing and Anomalous Traffic in Wireless Networks via Forge-Resistant Relationships
2. A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges
3. Deep Learning for RF Fingerprinting: A Massive Experimental Study
4. Backdoor attacks against low-earth orbit satellite fingerprinting;Zhao,2024
5. Explanation-Guided Backdoor Attacks on Model-Agnostic RF Fingerprinting
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