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100daysoffrontend

Html Css JS React and Angular

100daysofpython

Dr Angela 100 days of python course

ah_sdn_work_ryu

Trying to do Multi-Controller

animatedreactlogin

Login Animated

awesome-sdn

A awesome list about Software Defined Network (SDN)

bonesi

BoNeSi - the DDoS Botnet Simulator

clustering-based-anomaly-detection

This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets

ddos-attack-detection

ddos-mitigation-ryu

DDos Mitigation over SDN using Ryu Controller

ga-mlp

A genetic algorithm for optimizing neural network parameters using Python

intrusiondetectionsystem

Intrusion Detection System using SVM with NSL KDD Dataset

journey-to-become-a-blockchain-engineer

I'm sharing everything I'm learning to become a Blockchain Engineer

kdd2019_k-multiple-means

Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.

kdd99reviewarticle

python and latex source files for reproducibility

keclogintest

kec login

learn-sdn-with-ryu

Learn SDN with RYU Controller

login

machine_learning_research_nsl_kdd

Taking on a classic challenge, NSL KDD. When training and test data come from differing probability distributions, training becomes difficult. We attempt to improve upon current results

miniattack

Simulate Attacks With Mininet And Hping3

mininet

Emulator for rapid prototyping of Software Defined Networks

multi-controller-sdn

Trabajo de Fin de Master sobre entornos con múltiples controladores SDN

multipath

Multipath routing with Ryu and Pyretic SDN Controllers

multipath-sdn-controller

🎛 Multipath Software Defined Networking Controller which sets up multipath forwarding tables and adjusts them based on network measurements

nsl-kdd-dataset-analysis

Feature based analysis using ML classifiers on the NSL-KDD Dataset

nsl-kdd-network-intrusion-detection

Machine Learning Algorithms on NSL-KDD dataset

reactcloningapp

Practice Cloning Apps

reproducible-research

ryu

ryu-exercises

ryu simple exercises

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.