network-traffic-classification

There are 2 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.
machine-learning sdn network-analysis networking software-defined-network network-forensics pcap pcap-files pcap-analyzer sdn-controller faucet docker security automation network-monitoring network-traffic network-traffic-capture network-traffic-classification hacktoberfest
Language:Python 411
qa276390 / Encrypted_Traffic_Classification
using deep learning to classify the encrypted network traffic
machine-learning cybersecurity network-traffic-classification network-traffic
Language:Python 134
faucetsdn / NetworkML
Machine learning plugins for network traffic
hacktoberfest machine-learning machine-learning-algorithms ml network-analysis network-traffic-classification network-traffic-identification pcap poseidon
Language:Python 116
pritom007 / Network-Traffic-Classification
network network-traffic-classification network-analysis software-defined-network traffic-classification machine-learning knn-classification random-forest decision-trees network-monitoring docker-container dataset
Language:Jupyter Notebook 35
xgr19 / SAM-for-Traffic-Classification
Self-attentive deep learning method for online traffic classification and its interpretability (CN21 & NetAI20)
deep-learning network-traffic-classification self-attention
Language:Python 34
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
ids2018 ddos network-traffic-classification xgboost lightgbm sflow-rt mininet
Language:Jupyter Notebook 22
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
flowpic network-traffic-classification traffic-flow-classification cnn neural-network
Language:Jupyter Notebook 13
biagiom / spark-network-traffic-classifier
Network traffic classifier based on Apache Spark and MLlib
apache-spark network-traffic-classification machine-learning pyspark-mllib
Language:Python 6
shikhar-srivastava / Network-Traffic-Classification
Network traffic Simulation & Classification system
network-traffic-classification p2p ssh dos-attack network-analysis
Language:C 6
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.
machine-learning-algorithms network-traffic-classification intrusion-detection random-forest adaboost mlp svm-rbf
Language:Jupyter Notebook 5
dane-tool / dane
🐳📡🐶 Generate network communication data for target tasks in diverse network conditions.
network-emulation netem tc docker representative-data isp data-collection network-traffic network-traffic-classification dataset-generation data-automation traffic-classification pcap packet-capture network-traffic-datasets
Language:Python 4
skyInGitHub / Comprehensive-analysis-of-network-traffic-data
Code resource (R) for the paper: https://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.4181
network-traffic-classification comprehensive-analysis
Language:R 4
um-csnet / edge-ntc-fl
Code Repo for Leveraging Federated Learning and XAI for Private and Lightweight Edge Training In Network Traffic Classification
federated-learning network-traffic-classification xai
Language:Jupyter Notebook 2
FlowFrontiers / IFLforTFC
Supporting page for the manuscript titled, "Incremental Federated Learning for Traffic Flow Classification in Heterogeneous Data Scenarios."
federated-learning incremental-learning machine-learning network-traffic-classification
Language:Jupyter Notebook 1
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
network-traffic-classification heroku streamlit
Language:Python 0
Brute-f0rce / Wireshark
network-analysis network-traffic network-traffic-classification network-traffic-monitor sniffing wireshark