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Self-attentive deep learning method for online traffic classification and its interpretability (CN21 & NetAI20)
Encrypted Network Traffic Classification using Deep Learning
Accurate Mobile-App Fingerprinting Using Flow-level Relationship with Graph Neural Networks
It is a network traffic classifier based on deep learning.
A Mobile Application Classifying Method based on Graph Attention Network from Encrypted Network Traffic
Original implementation of FlowPrint as in the NDSS '20 paper
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Repository for the paper Network Traffic Classification based on Single Flow Time Series Analysis 【202307】
source code for USENIX Security paper xNIDS
Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning
Automated Heterogeneous IoT Attack Detection through Deep Reinforcement Learning: A Dynamic Machine Learning Approach
Deep Learning models for network traffic classification
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.
Materials about Encrypted Traffic Analysis
从pcap获取流的基本信息工具
Code for “FS-Net: A Flow Sequence Network For Encrypted Traffic Classification”
This repo contains the codes and the notebooks used for the paper "Exploring Temporal GNN Embeddings for Darknet Traffic Analysis".
李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
The dataset and code program of the paper "A Network Traffic Anomaly Detection Method Based on Gaussian Mixture Model"
This is the repository for collecting and summarizing open-source datasets and tools for communication networks.
code implementation for paper: A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification
Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic
SQLI labs to test error based, Blind boolean based, Time based.
Automatic Discrepancy Discovery for DPI Elusion
tcbench is a Machine Learning and Deep Learning framework to train model from traffic packet time series or other input representations.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.