AI and Security in 5G Cooperative Cognitive Radio Networks
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 20 December 2024 | Viewed by 6150
Special Issue Editors
Interests: spectrum sensing; compressive sensing; cognitive radio; wireless communication; cybersecurity; machine learning; LoRa, internet of things; federated learning; adversarial attacks; edge computing
Interests: wireless communication and networking; security; autonomous systems; internet of things; wireless sensor networks; smart grids; modeling; optimization; artificial intelligence
Special Issue Information
Dear Collogues,
5G cooperative cognitive radio continues to be a subject of great interest to researchers in wireless communications. It mitigates the radio spectrum scarcity by enabling opportunistic access to the spectrum. With spectrum sensing techniques, unlicensed users detect the available spectrum and use it for their transmissions without interfering with the licensed users.
In cooperative scenarios, unlicensed users collaborate and report their sensing results to a fusion center for the final decision about the spectrum occupancy. However, malicious users can easily interfere by eavesdropping or reporting falsified measurements to impact the sensing decision. These attacks negatively impact spectrum sensing accuracy. Examples of these attacks include primary user emulation, belief manipulation, eavesdropping, and malicious traffic injection. Therefore, detecting and effectively mitigating these attacks is required toward securing the cooperative spectrum sensing.
Artificial intelligence technology has been heralded as the revolutionary technology needed to successfully solve any problem of today’s networks. Integrating artificial intelligence into 5G networks allows efficiently detecting the presence of malicious users and other security concerns facing the 5G cooperative cognitive radio networks. In this context, this Special Issue is an opportunity to investigate how artificial intelligence can detect and mitigate security challenges facing cooperative spectrum sensing.
Dr. Fatima Salahdine
Dr. Hassan El Alami
Dr. Mohammed Ridouani
Guest Editors
Manuscript Submission Information
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Keywords
- 5G and beyond
- cooperative networks
- cognitive radio networks
- security
- artificial intelligence
- machine learning
- deep learning
- federated learning