.png){kind=icon}
返回
Semisupervised RF Fingerprinting With Consistency-Based Regularization
.png){kind=icon}
OA
AI
DOI：10.1109/JIOT.2023.3320975.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
As a promising non-password authentication technology, radio frequency (RF) fingerprinting can greatly improve wireless security. Recent work has shown that RF fingerprinting based on deep learning significantly outperforms conventional approaches. However, this superiority relies largely on using plenty of labeled data for supervised learning, whereas training deep neural networks on a small dataset generally falls into overfitting, resulting in performance degradation. Considering that it is often easier to obtain enough unlabeled data in practice, we leverage deep semisupervised learning for RF fingerprinting, which largely relies on a composite data augmentation scheme specifically designed for wireless communication signals, combined with two popular techniques: 1) consistency-based regularization and 2) pseudo-labeling. Experimental results on both simulated and real-world datasets demonstrate that our proposed method for semisupervised RF fingerprinting is far superior to other competing ones, and it achieves remarkable performance almost close to that of fully supervised learning, with a very limited number of examples available.
Keyword:
Fingerprint recognition
Radio frequency
Data augmentation
Internet of Things
Wireless communication
Deep learning
Classification tree analysis
Consistency-based regularization
data augmentation
deep learning
deep semisupervised learning
pseudo-labeling
radio frequency (RF) fingerprinting
期刊
IF:
8.9
论文数:
1.4W
被引数:
7.8W
机构
引用论文
Semi-Supervised Specific Emitter Identification via Dual Consistency Regularization基于双重一致性正则化的半监督特定发射器识别
PREAI
分享收藏分享收藏Data Augmentation for Deep Learning-Based Radio Modulation Classification基于深度学习的无线电调制分类的数据增强.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏Generative Adversarial Networks-Based Semi-Supervised Automatic Modulation Recognition for Cognitive Radio Networks基于生成式对抗网络的认知无线电网络半监督自动调制识别SENSORSOAAI
SENSORSIF3.5
OAAI分享收藏Dual mTOR inhibitor MLN0128 suppresses Merkel cell carcinoma (MCC) xenograft tumor growthOncotargetOAAI
OncotargetIF0
OAAI分享收藏
查看更多内容