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Network Security Threats and Defense Mechanisms for 6G Multi-Virtual Network Scenarios

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The introduction of 6G networks presents substantial challenges for network security, particularly in multi-virtual network topologies. The combination of network function virtualization (NFV) and software-defined networking (SDN) in 6G is designed to increase scalability and flexibility; nevertheless, these advances complicate network security management. The goal is to identify risks to network security and develop defense solutions for 6G multi-virtual network situations. SDN's virtualized network functions (VNFs) are utilized to provide stateful firewall services that provide scalable and dynamic threat prevention. The SDN controller is critical in developing a set of rules to prevent risky network connectivity and decrease possible risks. 6G multi-virtual network domains-attacking threats that involve different socket addresses so complex that usually applicable protection measures hardly tackle that scenario, machine learning (ML) algorithms, and Intelligent Osprey Optimized Versatile Random Forest (IOO-VRF) model-have been proposed for potentially harmful connection detection and predicting cyber threats accessing the network. Multiple open-access sources can be exploited to gather diverse data for collecting valuable information on studying network traffic and cyber threats. The experimental results indicate that IOO-VRF achieved prediction accuracy comparable to that of other traditional algorithms. The proposed model is assessed on various types of metrics, including accuracy (98%), precision (97.4%), recall (94%), and F1-score (93%). The results emphasized the importance of ML in combination with SDN and NFV for security in the case of resilient, expandable, and flexible security measures for future multi-virtual 6G network communications networks.

defense mechanismsIntelligent Osprey Optimized Versatile Random Forest (IOO-VRF)multi-virtual networknetwork securitythreats

Yu Zhou

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Information Center, Guangxi Tobacco Corporation, Nanning, Guangxi, China

2025

International journal of network management

International journal of network management

ISSN:1099-1190
年,卷(期):2025.35(2)
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