Keywords
routing
neural networks
artificial intelligence (AI)
How to Cite
Abstract
The article examines the role of BGP (Border Gateway Protocol) in ensuring the stable operation of the Internet and its fundamental challenges. This protocol serves as the primary mechanism for exchanging routes between autonomous systems; however, it is associated with several issues, including security vulnerabilities, configuration complexity, policy management difficulties, and its global impact on network stability.
Contemporary research approaches focus on the integration of neural networks into the BGP routing process. Such integration enables automated data collection and analysis, model training, real-time anomaly detection, and automated response. The application of artificial intelligence methods facilitates route optimization, decision-making transparency, and adaptability in dynamic network environments.
The implementation of neural networks in BGP routing significantly enhances system stability, security, and operational efficiency. It reduces the risk of human error, improves route management quality, and increases network throughput. Consequently, neural network integration is considered a promising approach for improving the management and sustainable development of the global Internet infrastructure.
References
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