An Artificial Radio Frequency Fingerprint Embedding Scheme for Device Identification
Author:
Affiliation:
1. School of Cyber Science and Engineering, Southeast University, Nanjing, China
2. Purple Mountain Laboratories for Network and Communication Security, Nanjing, China
Funder
National Natural Science Foundation of China
Key Laboratory of Network and Information Security (2020 Provincial Innovation Capability Construction Special Fund) and National Mobile Communications Research Laboratory
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/9771287/09698034.pdf?arnumber=9698034
Reference14 articles.
1. Optimized fingerprint generation using unintentional emission radio-frequency distinct native attributes (RF-DNA)
2. A Robust RF Fingerprinting Approach Using Multisampling Convolutional Neural Network
3. ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks
4. Securing IoT RF Fingerprinting Systems with Generative Adversarial Networks
5. A Data-Independent Radio Frequency Fingerprint Extraction Scheme
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