Adaptive and intelligent security frameworks for sdn-nfv enabled next-generation networks: A Review
DOI:
https://doi.org/10.22399/ijcesen.5189Keywords:
Adaptive security, intelligent security, SDN-NFVAbstract
The rapid evolution of telecommunication technologies towards 5G and 6G has necessitated a paradigm shift from rigid hardware-based infrastructures to flexible, software-defined architectures. This transition is primarily driven by Software-Defined Networking (SDN) and Network Function Virtualization (NFV), which enable dynamic resource management and programmability. However, the centralization of control in SDN and the distributed nature of NFV introduce novel security vulnerabilities, particularly in Zero-Touch Networks (ZTN) and Cloud-Enabled IoT environments. This review paper critically analyzes the current state of adaptive networking protocols, focusing on the integration of Artificial Intelligence (AI) and Machine Learning (ML) for intrusion detection and threat mitigation. We examine recent methodologies, including Deep Learning (DL), Bio-inspired algorithms, and Blockchain-based trust mechanisms, evaluating their efficacy in addressing scalability, latency, and data integrity. The review identifies critical research gaps in real-time adaptivity and computational efficiency, proposing a unified, lightweight framework for intelligent orchestration in next-generation communication systems.
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