3D Convolution-Based Radio Frequency Fingerprinting for Satellite Authentication-Reference-Cited by-同舟云学术

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3D Convolution-Based Radio Frequency Fingerprinting for Satellite Authentication

Published:2023-12-04 Issue: Volume: Page:7586-7591
ISSN:
Container-title:GLOBECOM 2023 - 2023 IEEE Global Communications Conference
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Author:

Zhu Siyu¹,Zhang Yuanyu¹,Zhu Jinxiao²,Chen Yin³,Shen Yulong¹,Jiang Xiaohong⁴

Affiliation:

1. School of Computer Science and Technology, Xidian University,China

2. School of System Design and Technology, Tokyo Denki University,Japan

3. Reitaku University,Kashiwa,Japan

4. School of Systems Information Science, Future University,Hakodate,Japan

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10436708/10436716/10436963.pdf?arnumber=10436963

Reference11 articles.

1. On the security of leo satellite communication systems: Vulnerabilities, countermeasures, and future trends;Yue;arXiv preprint,2022

2. A Review of Radio Frequency Fingerprinting Techniques

3. ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks

4. Privacy-Preserving Location Authentication in Wi-Fi Networks Using Fine-Grained Physical Layer Signatures

5. Online machine learning-based physical layer authentication for MmWave MIMO systems

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