Deep learning based physical layer security for terrestrial communications in 5G and beyond networks: A survey

H Sharma, N Kumar - Physical Communication, 2023 - Elsevier
The key principle of physical layer security (PLS) is to permit the secure transmission of
confidential data using efficient signal-processing techniques. Also, deep learning (DL) has …

A review study on blockchain-based IoT security and forensics

R Kamal, EED Hemdan, N El-Fishway - Multimedia Tools and Applications, 2021 - Springer
Abstract The term Internet of Things (IoT) represents all communicating countless
heterogeneous devices to share data and resources via the internet. The speedy advance of …

Automatic modulation classification: A deep architecture survey

T Huynh-The, QV Pham, TV Nguyen, TT Nguyen… - IEEE …, 2021 - ieeexplore.ieee.org
Automatic modulation classification (AMC), which aims to blindly identify the modulation type
of an incoming signal at the receiver in wireless communication systems, is a fundamental …

Design and Experimental Assessment of Real-Time Anomaly Detection Techniques for Automotive Cybersecurity

P Dini, S Saponara - Sensors, 2023 - mdpi.com
In recent decades, an exponential surge in technological advancements has significantly
transformed various aspects of daily life. The proliferation of indispensable objects such as …

Time and phase features network model for automatic modulation classification

T Cui, D Wang, L Ji, J Han, Z Huang - Computers and Electrical …, 2023 - Elsevier
Abstract Automatic Modulation Classification (AMC) constitutes a fundamental technology
for enabling automatic demodulation in Cognitive Communication Systems (CCS). Due to …

[PDF][PDF] Automatic Modulation Classification of Real Signals in AWGN Channel Based on Sixth-Order Cumulants.

M Simic, M Stanković, VD Orlic - Radioengineering, 2021 - radioeng.cz
Automatic modulation classification (AMC) represents an important integral part of modern
communication systems. While novel AMC algorithms based on complex neural network …

A systematic review of radio frequency threats in IOMT

IA Jayaraj, B Shanmugam, S Azam… - Journal of Sensor and …, 2022 - mdpi.com
In evolving technology, attacks on medical devices are optimized due to the driving force of
AI, computer vision, mixed reality, and the internet of things (IoT). Optimizing cybersecurity …

Accelerating privacy-preserving momentum federated learning for industrial cyber-physical systems

L Zhang, Z Zhang, C Guan - Complex & Intelligent Systems, 2021 - Springer
Federated learning (FL) is a distributed learning approach, which allows the distributed
computing nodes to collaboratively develop a global model while keeping their data locally …

Hierarchical classification of analog and digital modulation schemes using higher-order statistics and support vector machines

B Yalcinkaya, RB Coruk, A Kara, H Tora - Wireless Personal …, 2024 - Springer
Automatic modulation classification (AMC) algorithms are crucial for various military and
commercial applications. There have been numerous AMC algorithms reported in the …

A categorized information fusion model for reliable services delivery in smart cities

M Anjum, S Shahab, MA Khan, S Ahmad - Applied Soft Computing, 2024 - Elsevier
Abstract Wireless Sensor Network serves as the core source of data in the Internet of Things
(IoT) environment. The WSN nodes sense, aggregate, and relay sensed data for the different …