455485089

455485089's Stars

• chenliangchen/Intrusion-Detection-System-for-the-Internet-of-Things

  To perform the experiments, CICIDS2017 intrusion detection dataset has been used because it contains benign and the most up-to-date common attacks. However, the project is supposed to work on any publicly available PCAP/TCPDUMP file. Find the CICIDS2017 dataset here:

  Language:Python71

• djh-sudo/CICIDS2017-Machine-Learning

  Multi-classification based CICIDS2017 with Machine Learning

  Language:Python7

• demonCoder95/ML-based-IDS-CICIDS2017

  This is a simple DNN based application for an IDS based on the CICIDS2017 dataset

  Language:Python246

• GYXGY/Anomaly-Detection

  Based on the CICIDS2017 dataset and Pytorch platform

  Language:Python265

• Anandkumar26/DDOSAttack_SDN

  Language:Python4130

• aswanthpp/Analysis-of-DDoS-Attacks-in-SDN-Environments

  Analysis of DDoS attack in SDN Environments using miniedit and pox controller

  Language:Python5125

• santhisenan/SDN_DDoS_Simulation

  An attempt to detect and prevent DDoS attacks using reinforcement learning. The simulation was done using Mininet.

  Language:Python10826

• GAR-Project/project

  DDoS attacks detection by using SVM on SDN networks.

  Language:Python13728

• faucetsdn/poseidon

  Poseidon is a python-based application that leverages software defined networks (SDN) to acquire and then feed network traffic to a number of machine learning techniques. The machine learning algorithms classify and predict the type of device.

  Language:Python419124

• mininet/mininet

  Emulator for rapid prototyping of Software Defined Networks

  Language:Python5.4k1.7k