A Radio Frequency Fingerprint Identification Method for Wireless Devices Based on ShuffleNet-SVM-Reference-Cited by-同舟云学术

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A Radio Frequency Fingerprint Identification Method for Wireless Devices Based on ShuffleNet-SVM

Published:2022-12-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 8th International Conference on Computer and Communications (ICCC)
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Author:

Shi Junxiao¹,Lu Shan¹,Zhang Juntao²,Zhou Peng¹,Yang Fan¹,Gao Yuqiang¹,Wu Hao³,Feng Wenjiang²

Affiliation:

1. State Grid Zhejiang Electric Power Co., Ltd. Information Communication Branch State Grid Zhejiang Electric Power Co., Ltd.,Zhejiang,China

2. School of Microelectronics and Communication Engineering Chongqing University,Chongqing,China

3. Anhui Jiyuan Software Co., Ltd. Anhui Jiyuan Software Co., Ltd.,Anhui,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10065600/10065601/10065708.pdf?arnumber=10065708

Reference20 articles.

1. A Robust RF Fingerprinting Approach Using Multisampling Convolutional Neural Network

2. Deep Learning for RF Device Fingerprinting in Cognitive Communication Networks

3. Machine Learning Approach to RF Transmitter Identification

4. Using Spectral Fingerprints to Improve Wireless Network Security

5. A Database for the Radio Frequency Fingerprinting of Bluetooth Devices

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A RSBU-LSTM network for radio frequency fingerprint identification relying on multiple features;EURASIP Journal on Advances in Signal Processing;2024-06-28

2. Bluetooth Device Identification Using RF Fingerprinting and Jensen-Shannon Divergence;Sensors;2024-02-24

3. Radio frequency fingerprinting techniques for device identification: a survey;International Journal of Information Security;2023-12-28

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