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Pablo Collado Soto edited this page Dec 2, 2022 · 1 revision

GAR-Project 2019/2020

The purpose of this project is to develop an artificial intelligence to classify possible DDoS attacks in an SDN network. This will be done by using data collectors such as Telegraf, Mininet to emulate the SDN network, and InfluxDB and Grafana as a means to store data and visualize it respectively. For non-English speakers we leave part of the content of this guide written in Spanish:

  • Network Scenario - Mininet Guide: Link
  • DDoS using hping3 tool Guide: Link
  • Mininet Internals (II) Guide: Link

Keywords: DDoS attacks; SDN network; Artificial Intelligence classification; Mininet

Index

Note

Throughout the document we will always be talking about 2 virtual machines (VMs) on which we implement the scenario we are discussing. In order to keep it simple we hace called one VM controller and the other one test. Even though the names may seem kind of random at the moment we promise they're not. Just keep this in mind as you continue reading.

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