Physical Layer Security for 6G: Toward Achieving Intelligent Native Security at Layer-1
I Ara, B Kelley - IEEE Access, 2024 - ieeexplore.ieee.org
This paper lays the foundations for Physical Layer Security (PLS) as a native 6G
communication operation mode. 6G mobile network will enable intelligent applications …
communication operation mode. 6G mobile network will enable intelligent applications …
MFF-YOLO: An Accurate Model for Detecting Tunnel Defects Based on Multi-Scale Feature Fusion
A Zhu, B Wang, J Xie, C Ma - Sensors, 2023 - mdpi.com
Tunnel linings require routine inspection as they have a big impact on a tunnel's safety and
longevity. In this study, the convolutional neural network was utilized to develop the MFF …
longevity. In this study, the convolutional neural network was utilized to develop the MFF …
Real-Time Anomaly Detection in Network Traffic Using Graph Neural Networks and Random Forest
W Hassan, SE Hosseini, S Pervez - International Conference on Next …, 2023 - Springer
Network infrastructure security is a top issue in today's digitally linked world. The crucial
issue of real-time anomaly identification in network data is addressed in this research study …
issue of real-time anomaly identification in network data is addressed in this research study …
A Robust Anomaly Detection Framework Utilizing Feature Engineering and Ensemble Techniques with BETH Data
Anomaly detection holds a critical role in cybersecurity, with the aim of identifying suspicious
activities or behaviors that deviated from normal patterns. In this paper, the BPF-extended …
activities or behaviors that deviated from normal patterns. In this paper, the BPF-extended …