Radio Frequency Fingerprint Identification of WiFi Signals Based on Federated Learning for Different Data Distribution Scenarios-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Radio Frequency Fingerprint Identification of WiFi Signals Based on Federated Learning for Different Data Distribution Scenarios

Published:2023-10 Issue:5 Volume:28 Page:1852-1864
ISSN:1383-469X
Container-title:Mobile Networks and Applications
language:en
Short-container-title:Mobile Netw Appl

Author:

Shi Jibo,Ge Bin,Wu Qiong,Yang Ruichang,Sun Yan^ORCID

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology, Harbin Engineering University

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11036-023-02229-0.pdf

Reference30 articles.

1. Lin Y, Zhao H, Ma X, Tu Y, Wang M (2020) Adversarial attacks in modulation recognition with convolutional neural networks. IEEE Trans Reliab 70(1):389–401

2. Sadeghi M, Larsson EG (2018) Adversarial attacks on deep-learning based radio signal classification. IEEE Wireless Communications Letters 8(1):213–216

3. Bhatt R, Maheshwary P, Shukla P, Shukla P, Shrivastava M, Changlani S (2020) Implementation of fruit fly optimization algorithm (ffoa) to escalate the attacking efficiency of node capture attack in wireless sensor networks (wsn). Comput Commun 149:134–145

4. Zhang J, Xie Y, Wu Q, Xia Y (2019) Medical image classification using synergic deep learning. Med Image Anal 54:10–19

5. Sorin V, Barash Y, Konen E, Klang E (2020) Deep learning for natural language processing in radiology-fundamentals and a systematic review. J Am Coll Radiol 17(5):639–648

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP