Handling Security Issues in Software-defined Networks (SDNs) Using Machine Learning

D Kumar, J Thakur - Computational Vision and Bio-Inspired Computing …, 2022 - Springer
Software-defined networks are scalable, flexible, easier to manage, and also support
adaptive nature. Our objective is to focus on how machine learning can make SDN more …
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[PDF] researchgate.net

[PDF][PDF] Handling Security Issues in Software-defined Networks (SDNs) Using Machine Learning

D Kumar, J Thakur - researchgate.net
Software-defined networks are scalable, flexible, easier to manage, and also support
adaptive nature. Our objective is to focus on how machine learning can make SDN more …

Handling Security Issues in Software-defined Networks (SDNs) Using Machine Learning

D Kumar, J Thakur - … and Bio-Inspired Computing: Proceedings of …, 2022 - books.google.com
Software-defined networks are scalable, flexible, easier to manage, and also support
adaptive nature. Our objective is to focus on how machine learning can make SDN more …

Handling Security Issues in Software-defined Networks (SDNs) Using Machine Learning

D Kumar, J Thakur - Computational Vision and Bio-Inspired Computing - Springer
Software-defined networks are scalable, flexible, easier to manage, and also support
adaptive nature. Our objective is to focus on how machine learning can make SDN more …