Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA
2. Department of Electrical Engineering, University at Buffalo, Buffalo, NY, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture
Link
http://xplorestaging.ieee.org/ielx7/6687307/10210428/10107741.pdf?arnumber=10107741
Reference39 articles.
1. Artificial neural network based automatic modulation classifier for software defined radios;jagannath;Proc IEEE Int Conf Commun (ICC),2018
2. RF Transmitter Fingerprinting Exploiting Spatio-Temporal Properties in Raw Signal Data
3. Automatic Modulation Classification: A Deep Architecture Survey
4. Trust in 5G Open RANs through Machine Learning: RF Fingerprinting on the POWDER PAWR Platform
5. Lightweight Automatic Modulation Classification Based on Decentralized Learning
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