DIBAD: A Disentangled Information Bottleneck Adversarial Defense Method using Hilbert-Schmidt Independence Criterion for Spectrum Security
S Zhang, Y Yang, Z Zhou, Z Sun… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Automatic Modulation Classification (AMC) is crucial for monitoring the legitimacy of user
frequency behavior and identifying potential sources of interference in spectrum monitoring …
frequency behavior and identifying potential sources of interference in spectrum monitoring …
Advancing Malware Detection in Network Traffic With Self-Paced Class Incremental Learning
Ensuring network security, effective malware detection (MD) is of paramount importance.
Traditional methods often struggle to accurately learn and process the characteristics of …
Traditional methods often struggle to accurately learn and process the characteristics of …
Low-Resource Scenario Classification Through Model Pruning Towards Refined Edge Intelligence
X Shan, J Wang, X Yan, C Wang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The implementation of Scenario Classification (SC) plays a pivotal role in various edge
intelligence applications, notably in fields such as autonomous driving, navigation, and …
intelligence applications, notably in fields such as autonomous driving, navigation, and …
Data-Driven Subsampling in the Presence of an Adversarial Actor
Deep learning based automatic modulation classification (AMC) has received significant
attention owing to its potential applications in both military and civilian use cases. Recently …
attention owing to its potential applications in both military and civilian use cases. Recently …
Feature-Imitation Federated Learning: An Efficient Approach for Specific Emitter Identification in Low-Resource Environments
As communication technology evolves, specific emitter identification (SEI) gains significance
in areas like wireless network security and IoT device identification. While big data and deep …
in areas like wireless network security and IoT device identification. While big data and deep …
Refined Semi-Supervised Modulation Classification: Integrating Consistency Regularization and Pseudo-Labeling Techniques
M Ma, S Liu, S Wang, S Shi - Future Internet, 2024 - mdpi.com
Automatic modulation classification (AMC) plays a crucial role in wireless communication by
identifying the modulation scheme of received signals, bridging signal reception and …
identifying the modulation scheme of received signals, bridging signal reception and …
OFDM Modulation Classification Using Cross-SKNet with Blind IQ Imbalance and Carrier Frequency Offset Compensation
B Ren, KC Teh, H An… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Automatic modulation classification (AMC) plays a vital role in military and civilian
applications, which identifies the modulation schemes of received signals before signal …
applications, which identifies the modulation schemes of received signals before signal …
Small target disease detection based on YOLOv5 framework for intelligent bridges
T Zhang, Y Xiong, S Jiang, P Dan, G Gui - Peer-to-Peer Networking and …, 2024 - Springer
This paper proposes a small target disease detection method using YOLOv5 framework for
detecting small apparent diseases on intelligent bridges, aiming to address the problem of …
detecting small apparent diseases on intelligent bridges, aiming to address the problem of …
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 …
and system security. However, it is a difficult task to obtain large-scale labeled malware …
Specific emitter identification based on ensemble domain adversarial neural network in multi-domain environments
D Li, B Yao, P Sun, P Li, J Yan, J Wang - EURASIP Journal on Advances in …, 2024 - Springer
Specific emitter identification is pivotal in both military and civilian sectors for discerning the
unique hardware distinctions inherent to various launchers, it can be used to implement …
unique hardware distinctions inherent to various launchers, it can be used to implement …