MODEL OF NETWORK FUNCTION TRANSFORMATION WITH ELEMENTS OF DDOS PROTECTION
Keywords:
Network Functions Virtualization (NFV), Software-Defined Networking (SDN), AI, artificial intelligence, DDoS attacks, cybersecurity, neural networksAbstract
The article examines the integration of artificial intelligence (AI) with Network Functions Virtualization (NFV) and Software-Defined Networking (SDN) technologies for the optimization and automation of network processes, as well as protection against DDoS attacks. It is established that, in the context of the rapid development of telecommunications technologies and the growing threats such as DDoS attacks, AI implementation not only enhances network management efficiency but also improves cybersecurity strategies. The article analyzes the key challenges and opportunities of implementing AI in NFV and SDN, with a focus on developing models that can adapt to dynamic network conditions, automatically optimize resources, and prevent threats in real time. The study results demonstrate the significant potential of AI to increase the flexibility, reliability, productivity, and security of network systems. The article calls for further interdisciplinary research in this field and discusses ways to integrate cutting-edge solutions into modern telecommunications networks for enhanced threat protection.
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Copyright (c) 2025 Микола Рижаков, Петро Поночовний
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