ICMP-Flood-SDN: A Python based machine learning application for ICMP flood DDoS attack detection in software defined networks

ICMP-flood-SDN is an artificial intelligence based DDoS detection application that uses support vector machines (SVMs) as a machine learning model for the classification of ICMP flood DDoS traffic in software defined networks. The ICMP-flood-SDN was built using the ICMP-Flood DDoS dataset and Python-based machine learning libraries on Jupiter Notebook. The application utilizes the Mininet emulator, RYU controller, and hping3 tool to create a normal and ICMP flood traffic dataset in software defined network.