chuchuSunflower

Python

All Algorithms implemented in Python

taichi

Productive, portable, and performant GPU programming in Python.

ET-BERT

The repository of ET-BERT, a network traffic classification model on encrypted traffic. The work has been accepted as The Web Conference (WWW) 2022 accepted paper.

traffic_classification_utils

网络流量分类对比方法汇总

PRE-list

List of (automatic) protocol reverse engineering tools for network protocols

Deep-Learning-Based-State-Estimation

Incorporating Transformer and LSTM to Kalman Filter with EM algorithm

PrivPkt

Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)

Stacking

机器学习集成模型之Stacking各类模型及工具源码

iscx-analysis

Analysis of the ISCX VPN-nonVPN Dataset 2016 for Encrypted Network Traffic Classification

TFE-GNN

WWW'23 Research Paper: TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification

mappgraph

Encrypted Network Traffic Classification using Deep Learning

Machine-Learning-

使用pyhton3语言对机器学习算法中的K近邻算法、线性回归、多项式回归、逻辑回归、PCA、SVM、决策树、随机森林、集成学习、boosting 等进行了算法的实现以及实验分析

PEAN

code implementation for paper: A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification

CLE-TFE

One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning

Encrypted-Traffic-Classification-Models

Encrypted-Network-Traffic-Classification-with-Higher-Order-Graph-Neural-Network

code repository for the the paper "Encrypted Network Traffic Classification with Higher Order Graph Neural Network"

pcapAE

convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.

Ordinal-patterns-based-analysis

Ordinal-patterns-based analysis toolbox (permutation entropy, robust permutation entropy, conditional entropy of ordinal patterns, ordinal distributions)

Network-Anomaly-Traffic-Detection-and-Prediction-using-Spatio-Temporal-Networks

Purposed a network traffic classification and prediction model based on CNN, TCN and Attention mechanism.

CBS

This platform is designed and implemented for encrypted traffic classification using deep learning

Lambert

Leveraging Attention Mechanisms to improve the BERT fine-tuning model for encrypted traffic classification

preunn

Code for experimentation of "Protocol Reverse Engineering Using Neural Networks"

GLADS

尝试论文复现：GLADS: A global-local attention data selection model for multimodal multitask encrypted traffic classification of IoT

Sklearn-Ensemble-Learning

sklearn.ensemble中的集成学习算法整理

Ensemble_CNNs

利用Transfer Learning 以及集成学习**构建的model,在Kaggle DogCat 比赛获得全球TOP1% ,15/1314优异成绩.

ETC_NOMS_2024

Encrypted Traffic Classification at Line Rate in Programmable Switches with Machine Learning

ML-Emsembling

集成学习

MICI_8_ensemble-learning

集成学习（八）

Encrypted-traffic-classification

加密流量分类，使用机器学习算法通过加密流量的流特征完成正常异常二分类，后面还有一个协议多分类

ProtocolReverseEngineering

binary protocol message analysis based on auto-encoder