Optimal Deep Learning Empowered Malicious User Detection for Spectrum Sensing in Cognitive Radio Networks

Optimal Deep Learning Empowered Malicious User Detection for Spectrum Sensing in Cognitive Radio Networks

Malicious user recognition for spectrum sensing in Cognitive Radio Networks (CRNs) is a serious safety feature to safeguard effective and trustworthy process of these systems. Spectrum sensing permits CRNs to identify and employ accessible spectrum bands. As well as it is available to prospective in...

Full description

Bibliographic Details
Main Authors: Latifah Almuqren, Mohammed Maray, Faiz Abdullah Alotaibi, Abdulrahman Alzahrani, Ahmed Mahmud, Mohammed Rizwanullah
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Cognitive radio networks
communication
spectrum sensing
malicious user detection
deep learning
Online Access:https://ieeexplore.ieee.org/document/10440279/

Similar Items

Similar Items