It covers how AI is used in networking by reviewing seven real survey papers, including machine learning techniques for solving networking problems, traffic classification and prediction for identifying and forecasting network traffic, intrusion detection for detecting cyberattacks, reinforcement learning for optimizing routing in software-defined networks, AI-native 6G networks for integrating intelligence into network design, and large language models for network management through natural-language configuration, troubleshooting, and diagnosis.
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Jadhav et al. (2026) studied this question.
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