nine-hg Goto Github PK

-2020-self-attentive-deep-learning-method-for-online-traffic-classification-and-its-interpretability

Self-attentive deep learning method for online traffic classification and its interpretability (CN21 & NetAI20)

-2021-mappgraph

Encrypted Network Traffic Classification using Deep Learning

-2021-trafficdataofdapps

-2022-mobile-app-fingerprinting-with-gnn

Accurate Mobile-App Fingerprinting Using Flow-level Relationship with Graph Neural Networks

-2022-prograph

-2023-an-input-agnostic-hierarchical-deep-learning-framework-for-traffic-fingerprinting

It is a network traffic classifier based on deep learning.

-2023-gatbased_model

A Mobile Application Classifying Method based on Graph Attention Network from Encrypted Network Traffic

-ndss2020-flowprint

Original implementation of FlowPrint as in the NDSS '20 paper

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

classificationbasedonsfts---202307-tc-based-on-single-flow-time-series

Repository for the paper Network Traffic Classification based on Single Flow Time Series Analysis 【202307】

code-xnids

source code for USENIX Security paper xNIDS

deep-packet

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

deep-reinforcement-learning

Automated Heterogeneous IoT Attack Detection through Deep Reinforcement Learning: A Dynamic Machine Learning Approach

deeptraffic

Deep Learning models for network traffic classification

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.

eta-resource

Materials about Encrypted Traffic Analysis

flowcontainer

从pcap获取流的基本信息工具

fs-net

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

gnn-for-darknet

This repo contains the codes and the notebooks used for the paper "Exploring Temporal GNN Embeddings for Darknet Traffic Analysis".

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

network-intrusion-detection

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

network-traffic-anomaly-detection-based-on-gmm

The dataset and code program of the paper "A Network Traffic Anomaly Detection Method Based on Gaussian Mixture Model"

networkclassification

opencommlab

This is the repository for collecting and summarizing open-source datasets and tools for communication networks.

pean

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

rapier--ndss2024

Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic

rosetta

sqli-labs

SQLI labs to test error based, Blind boolean based, Time based.

symtcp

Automatic Discrepancy Discovery for DPI Elusion

tcbench

tcbench is a Machine Learning and Deep Learning framework to train model from traffic packet time series or other input representations.