qianwang102

Anomaly-ReactionRL

Using RL for anomaly detection in NSL-KDD

ML_For_AWID

Machine Learning Algorithm for AWID dataset

machineLearning

Network-Intrusion-Detection

Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

SwordOffer

《剑指offer》Java版代码实现

hello-algorithm

🌍 针对小白的算法训练 | 包括四部分：①.大厂面经 ②.力扣图解 ③.千本开源电子书 ④.百张技术思维导图（项目花了上百小时，希望可以点 star 支持，🌹感谢~）推荐免费ChatGPT使用网站

KitNET-py

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

IoT-Intrusion-Detection-System

Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine learning in this case CNN-LSTM is used together in component based architecture.

Iot_Botnet_Attacks_detection_using-Deep_Learning_Algorithms

Traffic_Classification_

A repository to push all pieces of code and visualizations as a part of Traffic_Classification project in my internship in Nantes

Deep-Packet

Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning

DL_based_IDS

This repository consists of python codes that performs attack classification based on the KDD and CIDDS dataset using CNN, LSTM-RNN and HMM.

sdn-handbook

SDN手册

FS-Net

Code for “FS-Net: A Flow Sequence Network For Encrypted Traffic Classification”

NetworkClassification

TrafficClassification

using 2d-cnn to classify network traffic

TorTrafficClassification

DeepTraffic

Deep Learning models for network traffic classification

nmeta

Extensible Traffic Classification on SDN

Internet-Traffic-Classification

master_thesis

This repository contains the code related to the master thesis " Alone in the Dark: Encrypted Traffic Classification"

Fs-net

FS-Net: A Flow Sequence Network For Encrypted Traffic Classification

MultitaskTrafficClassification

Multitask Learning Approach for Network Traffic Classification

poseidon

Poseidon is a python-based application that leverages software defined networks (SDN) to acquire and then feed network traffic to a number of machine learning techniques. The machine learning algorithms classify and predict the type of device.

T-GCN

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

SDN-QoS-Routing

multipath

Multipath routing with Ryu and Pyretic SDN Controllers

Tensorflow-Tutorial

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

SDNTrafficClassification

A repository containing all the scripts used in carrying out my project on web-application traffic classification.

Encrypted_Traffic_Classification

using deep learning to classify the encrypted network traffic