network-traffic-classification
There are 18 repositories under network-traffic-classification topic.
faucetsdn/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.
qa276390/Encrypted_Traffic_Classification
using deep learning to classify the encrypted network traffic
faucetsdn/NetworkML
Machine learning plugins for network traffic
xgr19/SAM-for-Traffic-Classification
Self-attentive deep learning method for online traffic classification and its interpretability (CN21 & NetAI20)
Bil369/IDS2018-DDoS-Traffic-Classify
基于IDS 2018数据集使用LightGBM和XGBoost实现DDoS流量分类 sFlow RT&Mininet流量采集与分类 杭电综合项目实践
parkeraddison/flowpic-replication
🛜→🖼️ Replication of the model set forth in "FlowPic: Encrypted Internet Traffic Classification is as Easy as Image Recognition" by Tal Shapira and Yuval Shavitt
biagiom/spark-network-traffic-classifier
Network traffic classifier based on Apache Spark and MLlib
shikhar-srivastava/Network-Traffic-Classification
Network traffic Simulation & Classification system
Sobika2531/Internet-Traffic-Classification-And-Intrusion-Detection
An ML-based classification method to classify the traffic and intrusions in a network which improves the overall performance of the network system.
dane-tool/dane
🐳📡🐶 Generate network communication data for target tasks in diverse network conditions.
skyInGitHub/Comprehensive-analysis-of-network-traffic-data
Code resource (R) for the paper: https://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.4181
FlowFrontiers/IFLforTFC
Supporting page for the manuscript titled, "Incremental Federated Learning for Traffic Flow Classification in Heterogeneous Data Scenarios."
um-csnet/edge-ntc-fl
Code Repo for Leveraging Federated Learning and XAI for Private and Lightweight Edge Training In Network Traffic Classification
Arbarbn/Network-Classification-using-Streamlit-and-Python
This was the classification of Network Traffic using 5 features for 10 apps. We created this app using Python and Streamlit and then it was hosted by Heroku
FlowFrontiers/AutoFlow
Supporting page for the manuscript titled, "AutoFlow: An Autoencoder-based Approach for IP Flow Record Compression with Minimal Impact on Traffic Classification."
um-csnet/vulnerable_FL_NTC
This is a code repository for a paper with title "Adversarial Attack and Defence of Federated Learning-Based Network Traffic Classification in Edge Computing Environment"