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cmpt980

This repo provides the code for the CMPT980 course project (DDoS detection and identification using ML)

ddos-detection-and-mitigation-in-sdn-controller

a Software-defined IoT gateway model to provide a more agile, secure, programmable gateway.

ddos-detection-sdn

This project aims to detect Distributed Denial of Service (DDoS) attacks within a Software-Defined Network (SDN) using an SVM framework for classifying network traffic as normal or anomalous

ddos-mitigation-ryu

DDos Mitigation over SDN using Ryu Controller

ddos-protection-by-sdn

This is the main project of Future Internet Laboratory. The key point of it is how to detect DDoS attacks and mitigate them by using SDN architecture and Machine Learning.

ddosattackmitigationsystem

Python based DDoS attack detection and mitigation system built over Ryu controllers and Mininet SDN,

ddosdn

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

ddosdn-1

Mitigation and Detection of DDoS Attacks in Software Defined Networks

demo

hello-world

ITITIU16087

hellotest

nodejs_blog

oop-project

ostep-code

Code from various chapters in OSTEP (http://www.ostep.org)

sdn-ddos-detection-and-mitigation-using-ml-and-statistical-methods

Programmed the SDN controller to monitor the traffic, predict the traffic behaviour and detect DDOS traffic in the cloud network and mitigate it. Machine learning SVM algorithm was used to predict the malicious traffic in the network, achieved an accuracy of 98% and detection rate of 100%. Technologies Used are, SDN, ML SVM, Openflow, Ryu controller, Python, Mininet, iperf, hping3, linux commands.

sdn-network-ddos-detection-using-machine-learning

sdn network ddos detection using machine learning

sdn_ddos_simulation

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

svm-ddos-sdn

DDoS attacks detection based on SVM and mitigation in a Software-Defined Network.

web-dev-for-beginners

24 Lessons, 12 Weeks, Get Started as a Web Developer