A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges

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SDNRoute: Proactive routing optimization in Software Defined Networks

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HTTPScout: A Machine Learning based Countermeasure for HTTP Flood Attacks in SDN

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Improving the Energy Efficiency of Software-Defined Networks through the Prediction of Network Configurations

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Predictive Switch-Controller Association and Control Devolution for SDN Systems

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Survey Studies of Software-Defined Networking: A Systematic Review and Meta-analysis

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A Hypergraph Approach to Deep Learning Based Routing in Software-Defined Vehicular Networks

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Control Channel Isolation in SDN Virtualization: A Machine Learning Approach

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AI Meets SDN: A Survey of Artificial Intelligent Techniques Applied to Software-Defined Networks

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Learning SDN traffic flow accurate models to enable queue bandwidth dynamic optimization

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