Understanding Radio Frequency Fingerprint Identification With RiFyFi Virtual Databases-Reference-Cited by-同舟云学术

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Understanding Radio Frequency Fingerprint Identification With RiFyFi Virtual Databases

Published:2024 Issue: Volume:5 Page:3735-3752
ISSN:2644-125X
Container-title:IEEE Open Journal of the Communications Society
language:
Short-container-title:IEEE Open J. Commun. Soc.

Author:

Chillet Alice¹^ORCID,Gerzaguet Robin¹^ORCID,Desnos Karol²^ORCID,Gautier Matthieu¹,Lohan Elena Simona³^ORCID,Nogues Erwan⁴,Valkama Mikko³^ORCID

Affiliation:

1. Univ. Rennes, CNRS, IRISA, Rennes, France

2. Univ. Rennes, INSA Rennes, CNRS, IETR - UMR 6164, Rennes, France

3. Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland

4. Maitrise de l’information, DGA, Bruz, France

Funder

DGA and Brittany Region under the Creach Lab founding

French National Research Agency

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8782661/10362961/10557593.pdf?arnumber=10557593

Reference50 articles.

1. Internet of Things security: A survey

2. A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges

3. RF Fingerprinting: Hardware-Trustworthiness Enhancement in the Hardware Trojan Era: RF Fingerprinting-Based Countermeasures

4. A Real-World Dataset Generator for Specific Emitter Identification

5. Attention is Needed for RF Fingerprinting

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