Integration of SDN and ML Techniques for Detection and Prevention of DDoS Attacks

With the ongoing evolution of communication and technology, there is a simultaneous evolution of threats. To ensure the security and accurate transfer of data, a substantial improvement of current cybersecurity protocols is essential. This paper explores the process of integrating Software Defined Networking (SDN) and Machine Learning (ML) techniques to prevent the Distributed Denial of Service attacks (DDoS) in a network. The design and simulation of this implementation is performed using the Xilinx Vivado Design Suite and verified using Edge Artix-7 FPGA Development Board.