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autolgbm

LightGBM + Optuna

autoxgb

XGBoost + Optuna

ddosdn

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

ensembling

Sklearn implement of multiple ensemble learning methods, including bagging, adaboost, iterative bagging and multiboosting

feature-selection-for-machine-learning

Code repository for the online course Feature Selection for Machine Learning

feature_selection_gaalgorithm

基于遗传算法的特征选择

intrusion-detection-system-using-machine-learning

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

kalirouter

intercepting kali router

kdd99cupdataset-svm

clean data ,feature selection , svm based kdd99

learning-sdn

SDN 學習及實作範例。(因個人職涯關係，已不再維護，請見諒。)

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

model-stacking

Model stacking example on toy dataset using XGBoost, LightGBM and more, combined with mlxtend model stacking.

nsl-kdd-dataset-feature-importance-calculation-with-forests-of-trees

NSL KDD Dataset Feature Importance Calculation With Forests of Trees

pcap-analyzer

online pcap forensic

pcap-analyzer-1

Python编写的可视化的离线数据包分析器

project

DDoS attacks detection by using SVM on SDN networks.

sdn-controller-for-mobile-edge-computing-relying-on-openairinterface

This repository contains two python codes that play a big role in the traffic redirection in Mobile Edge Computing (MEC). RYU controller is in charge of the traffic redirection. The main application is written in sdn_mec2_ryu.py, and the other code (Northbound_RYU.py) is responsible for the northbound API calls coming from the Mobile Edge Computing Platform Frontend to the RYU controller.

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

sdn network ddos detection using machine learning

sdn-traffic-classification-using-deep-learning

sdn_ddos_simulation

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

sdn_with_neural_network

Ryu python SDN controller with Neural Network integration for predicting anomaly in computer network.

svm-ddos-sdn

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

turnout-controller

Ryu controller application that redirects traffic following user's decisions

ustc-tk2016

Toolkit for processing PCAP file and transform into image of MNIST dataset

vlc-streaming-mininet

VLC streaming in Mininet. 2 switches with equal number of hosts connected to each switch

xinui

Simple UI for Ryu SDN controller