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Advanced Data-Driven Intelligent Control and Security Architectures in Next-Generation Wireless Communication Networks
Abstract
The contemporary wireless communication ecosystem represents a dynamically evolving landscape characterized by sophisticated computational and communication challenges. This research explores the integration of data-driven intelligent control and security architectures, emphasizing their role in enhancing performance and safeguarding communications. By synthesizing insights from over 18 research publications, it provides a comprehensive analysis of advancements, challenges, and solutions critical for modern applications such as IoT, 6G, and smart cities. Key contributions include the systematic evaluation of intelligent control methodologies, robust security mechanisms, and their potential to redefine network performance, reliability, and resilience.
References
Wei Huo et al., "Recent Advances in Data-driven Intelligent Control for Wireless Communication," 2024.
Cheng-Chi Lee, "Security and Privacy in Wireless Sensor Networks: Advances and Challenges," Sensors, 2020.
Sattar B. Sadkhan et al., "Privacy and Security of Wireless Communication Networks," Advances in Wireless Technologies, 2013.
M. K. Afzal et al., "Data-driven intelligence in wireless networks: Issues, challenges, and solutions," Emerging Telecommunications, 2019.
"Enabling AI in Future Wireless Networks: A Data Life Cycle Perspective," IEEE Xplore, 2023.
"Gaussian Processes in Wireless Communication," IEEE Journals, 2023.
"Blockchain-Based Solutions for IoT Security," IEEE Transactions, 2024.
"Advanced Modulation Techniques in 6G," IEEE Spectrum, 2024.
"Lightweight Cryptographic Methods for IoT," IEEE Internet of Things Journal, 2023.
"Quantum-Safe Communication Techniques," IEEE Quantum Journal, 2024.
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