Distributed Security Framework-based Internet of Things Network Slicing for 5G Networks

Abstract

Network virtualization is a crucial facilitator for the swift advancement of 5G networks by providing flexibility, scalability, and optimal resource allocation. Although network function virtualization and network slicing offer on-demand services for various tenants, the difficulty of developing a resilient security architecture in 5G persists. This paper presents a distributed, multi-layered security infrastructure augmented by an AI-driven anomaly detection module to overcome this gap. The framework utilizes various virtual security functions (VSFs) throughout the layers of the 5G architecture, with the AI module facilitating real-time identification of anomalous traffic patterns and zero-day vulnerabilities. This modular design allocates security tasks among VSFs, activating them only as necessary, hence assuring efficiency and resilience. Simulation outcomes indicate that the suggested method markedly enhances detection precision and security resilience while minimizing processing overhead. Moreover, in comparison to traditional centralized approaches, the improved framework demonstrates higher performance for load balancing, coverage, distance, throughput, and attack detection efficacy.