Emulator for rapid prototyping of Software Defined Networks

Mininet fork adding support for container-based (e.g. Docker) emulated hosts.

SDN 學習及實作範例。(因個人職涯關係，已不再維護，請見諒。)

SDN networks (Software Defined Networking ) are exposed to new security threats and attacks, especially Distributed Denial of Service (DDoS) attacks. For this aim, we have proposed a model able to detect and mitigate attacks automatically in SDN networks using Machine Learning (ML)

MiniCPS: a framework for Cyber-Physical Systems real-time simulation, built on top of mininet

DDoS attacks detection by using SVM on SDN networks.

Fast creation and configuration of topologies, traffic matrices and event schedules for network experiments

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

Creates a simple Ryu app using the tutorials and then adds on to it.

Testbed/Tutorials/Researching work on P4.

Mininet-based NDN emulator (mailing list: https://www.lists.cs.ucla.edu/mailman/listinfo/mini-ndn)

SDN topology editor in your web browser with Mininet, image and addressing plan export.

Cute network emulation web-app for self-education and classes (based on mininet).

A Network Animator for Visualizing Real-Time Packet Flows in Mininet

Applying Machine Learning model (SVM) into DDoS attack detection in SDN.

A system that could classify DNS, Telnet, Ping, Voice, Game, and Video traffic flows based on packet and byte information simulated by the Distributed Internet Traffic Generator (D-ITG) tool in an Software Defined Network (SDN) based network topology with Open vSwitch (OVS) using machine learning algorithms such as Logistic regression,K-Means clustering,K nearest neighbours, SVC, Gaussian NB and Random Forest Classifier.

Learning SDN within Ryu controller and SDN experiments/以Ryu作为控制器的SDN学习以及实验

A virtual emulator/testbed designed for the book: Computing in Communication Networks: From Theory to Practice (2020)

Attention! Legacy! This repo will be replaced with https://github.com/containernet/vim-emu

Mitigation and Detection of DDoS Attacks in Software Defined Networks

BPFabric implementations. Details about this work are available in the research paper "BPFabric: Data Plane Programmability for Software Defined Networks" published at ANCS 2017

基于IDS 2018数据集使用LightGBM和XGBoost实现DDoS流量分类 sFlow RT&Mininet流量采集与分类 杭电综合项目实践

This is my master's thesis project: "QoS implementation in Software Defined Network using Ryu Controller"

Link-state routing protocol using Dijkstra's algorithm for a Software-Defined Network in Mininet.

Mininet SDN based experiments on load balancing and improving server response times

DDOS Mitigation System based on Ryu SDN Controller with Port Blocking Mechanism

基于Mininet对SDN/OpenFlow网络进行仿真，搭建了由一个三层路由器staticRouter、一个二层自学习交换机以及若干台主机构成的网络拓扑。使用POX做控制器，编程实现了网络中各个主机之间的连通性。

This project is an implementation of Dijkstra Algorithm utilizing Ryu Controller and mininet for routing packets in network topologies.

No description provided.

Adaptive Pushback Mechanism for DDoS Detection and Mitigation employing P4 Data Planes