Comprehensive AI-Driven Approach to Cybersecurity in Fifth-Generation Networks
The AI-enabled risk management framework for 5G networks represents a significant advance in telecommunications security, in particular addressing the challenges posed by next-generation 5G networks. The key aspect of this article is to integrate established risk management principles with state-of-the-art artificial intelligence (AI). This new integration facilitates a dynamic approach to 5G security, allowing the system to evolve as new threats emerge. Unlike static security systems, AI-enabled risk management systems use adaptive controls, using AI to analyze real-time threat intelligence and adjust its security accordingly. Integrating AI enables the system to intelligently address complex security challenges specific to 5G, combats multiple vulnerabilities. In doing so, risk AI-enabled planning for 5G networks not only protects against current threats but unexpected security. The approach, marks a significant step forward in the effort to secure the next generation of mobile networks mark, highlighting the critical role AI plays in shaping the future of network security.
| Year of publication: |
2025
|
|---|---|
| Authors: | P., Ashok ; Prabhu, Sandeep ; Bhalerao, Srushtee ; Prabhu, Prathamesh |
| Published in: |
Implementing Enterprise Cybersecurity With AI. - IGI Global Scientific Publishing, ISBN 9798337322544. - 2025, p. 111-134
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