![]() The TFAD technique contains two proxies, SYN and ACK: the former defends against TCP SYN flood attacks and the latter against TCP ACK flood attacks. To handle this problem, we propose a TCP Flooding Attack Detection (TFAD) technique using proxy-based and Machine-Learning-based mechanisms (ML-TFAD). TCP flooding is a serious threat in which attackers restrict legitimate users from accessing the network resources. ![]() To degrade the network’s performance, attackers will saturate the control plane resources. As the logic of the SDN environment completely depends on the control plane, the controller is vulnerable to many security attacks. It overtook conventional networks by creating a configurable link between the control and data planes. Software-defined networks (SDN) offer a centralized administration programming interface to govern the network infrastructure.
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