Overcoming data limitations: a few-shot specific emitter identification method using self-supervised learning and adversarial augmentation

C Liu, X Fu, Y Wang, L Guo, Y Liu, Y Lin… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Specific emitter identification (SEI) based on radio frequency fingerprinting (RFF) is a
physical layer authentication method in the field of wireless network security. RFFs are …

FCGCN: Feature Correlation Graph Convolution Network for Few-Shot Individual Identification

Z Feng, H Zha, C Xu, Y He, Y Lin - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In the era of big data, Deep Learning (DL) technology has achieved breakthroughs in
various tasks involving electromagnetic analysis and recognition signals. However, in …

Few-Shot Specific Emitter Identification Leveraging Neural Architecture Search and Advanced Deep Transfer Learning

W Zhang, F Shi, Q Zhang, Y Wang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Specific emitter identification (SEI) has emerged as a notable device authentication
technology, distinguishing various emitters through the unique radio frequency fingerprint …

Enhanced Specific Emitter Identification With Limited Data Through Dual Implicit Regularization

Y Peng, X Zhang, L Guo, C Ben, Y Liu… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Specific Emitter Identification (SEI) is a critical technology for physical layer authentication in
wireless communications and the Internet of Things. Leveraging the inherent and hard-to …

Data Augmentation and Individual Identification Method for Emitters Using Contour Stella Image Mapping

G Han, W Wang, Z Xu, A Li - IEEE Transactions on Cognitive …, 2024 - ieeexplore.ieee.org
In wireless communication networks (WCN), numerous devices are interconnected with one
another, which poses challenges to the security of WCN. Specific emitter identification (SEI) …

A few-shot malware traffic classification method using knowledge transfer learning

M Qin, X Zhang, Y Wang, T Ohtsuki… - 2023 IEEE 23rd …, 2023 - ieeexplore.ieee.org
Malware traffic classification (MTC) has become one of the important tasks to protect network
and system security. However, it is a difficult task to obtain large-scale labeled malware …

Power Adapter Appearance Defect Detection Based On Task Feature Decoupling YOLOv8n

J Chen, Y Xie, Z Qian, K Chen, M Zhen, X Hu - IEEE Access, 2024 - ieeexplore.ieee.org
In the realm of defect detection, there are distinctions in the emphasis placed on features
between the classification and localization components of the task. The classification task …

TFMA: Few-Shot RF Fingerprint Identification with Time-Frequency Mask Augmentation

H Wang, H Zha, Y Lin, H Jiang - 2023 IEEE 23rd International …, 2023 - ieeexplore.ieee.org
Radio Frequency Fingerprinting Identification (RFFI), a promising wireless physical layer
security technique, relies on inherent impairments within the hardware circuitry of wireless …