A Survey on Securing 6G Wireless Communications based Optimization Techniques
Document Type
Conference Proceeding
Publication Title
2023 International Wireless Communications and Mobile Computing, IWCMC 2023
Abstract
The increasing number of applications and devices in the Sixth-generation (6G) networks and the diversity of mobile data, architectures, and technologies make security and privacy a critical concern. Advanced metaheuristics algorithms (MHAs) have recently become a viable solution for optimizing security and privacy in wireless networks, combining game theory and convex optimization, and several other advanced models. As a subfield of Artificial Intelligence (AI), MHAs are inspired by concepts from Evolutionary Algorithms (EAs), Trajectory-based Algorithms (TAs), and Swarm Intelligence (SI). Recent implementations of MHAs in the 6G networks have effectively solved complex security and privacy problems. This study examines MHAs' utilization in addressing security and privacy challenges in 6G networks. The paper provides a comprehensive overview of MHAs and their use in solving security and privacy problems in 6G. The current limitations of the literature are also identified, and avenues for further research are suggested. The reader will have a clear image of the needed technologies and tools for securing 6G networks using MHAs.
First Page
216
Last Page
223
DOI
10.1109/IWCMC58020.2023.10183210
Publication Date
7-21-2023
Keywords
Beyond 5G (B5G), Metaheuristics Algorithms (MHAs), Optimization, Privacy, Security, Sixthgeneration (6G)
Recommended Citation
A. K. Abasi, M. Aloqaily, B. Ouni, M. Guizani, M. Debbah and F. Karray, "A Survey on Securing 6G Wireless Communications based Optimization Techniques," 2023 International Wireless Communications and Mobile Computing (IWCMC), Marrakesh, Morocco, 2023, pp. 216-223, doi: 10.1109/IWCMC58020.2023.10183210.
Comments
IR conditions: non-described