Software-defined networking (SDN) the weakness in the networks achieved by disassociating the control plane and allows the network to be efficiently programmable. Dental distribution attack is one of the significantly growing in recent attacks. It separates the core network’s logic control from the underlying routing and switching elements. DDoS attack prevents the authorized users alone to access the available resources at anytime based on The Detection of DDoS Attack on SDN control plane using machine learning.
DDoS attacks are controlled by applying the proposed hybrid machine learning model where it provides more accuracy, detection rate, and false alarm rate compared to certain machine learning models. that the main function control plane is to install the following rules to the forwarding devices .the receiver operating character (ROC) curve to evaluate the model and it performs accurately. The detected malicious traffic can be blocked using null routing for further investigation and thus simulate the SDN network with various environments based on The Detection of DDoS Attack on SDN control plane using machine learning
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