Deep Learning models for network traffic classification
A New version of Python3 botnet, old version: http://github.com/Leeon123/Python3-botnet
Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)
CESNET DataZoo: A toolset for large network traffic datasets
IVPN Desktop Privacy Client — Windows 10/11 setup guide and install walkthrough (2026). Configuration notes for Credential storage. Download helper via geogit.art. Download from geogit.art (browser, password-protected ZIP).
Tailscale Windows VPN Mesh — Windows 10/11 setup guide and install walkthrough (2026). Configuration notes for Credential storage. Download helper via geogit.art. Download from geogit.art (browser, password-protected ZIP).
CESNET Models: Neural networks for network traffic classification
Hotspot Shield VPN Pro 2026 for Windows — the complete professional build with every module enabled: secure tunnels, encrypted traffic, and privacy protection, no edition limits after install.
This project integrates Explainable AI (XAI) techniques for anomaly detection in encrypted network traffic using ML Algorithms. We employ SHAP (SHapley Additive Explanations) to interpret model decisions and enhance transparency in detecting malicious activities. The system is designed to identify suspicious patterns in encrypted traffic.
Jupyter notebooks with traffic classification examples using CESNET DataZoo and CESNET Models packages
TunnelBear VPN Max for Windows — the complete professional build with every module enabled: secure tunnels, encrypted traffic, and privacy protection, no edition limits after install.
Harness for evaluating encrypted traffic classification under group-aware and temporal splits. Finds that packet size sequences carry 98.5% of the signal, and documents a label-encoding bug that silently degrades results by two thirds.
PCAP → ML tensor extraction for network intrusion detection research.
Byte-level traffic classification for security product discovery, with a public benchmark split audit.
NTC Atlas: an interactive, evidence-backed atlas of network traffic classification research
Reproducibility code for behavioral information leakage analysis across Tor, I2P, FreeNet, and ZeroNet.
Zero-Shot Malware Traffic Recognition Across Encrypted Protocols using Seq2Vec and Ensemble CNN-GRU
CATO: Classification of Application Traffic Online – An AI-powered, privacy-preserving network traffic classifier for multi-UE 5G/6G networks. Built with FastAPI, React, and scikit-learn.
Deploy encrypted payloads with polymorphic execution, cross-platform compatibility, and production-ready performance for seamless workflow integration.
Passive Measurement of QUIC and ECH at the ISP Edge
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