2 papers
cs.NI2026
Tutorial on Flow-Based Network Traffic Classification Using Machine Learning
Adrian Pekar, Richard Plny, Karel Hynek
Modern networks carry increasingly diverse and encrypted traffic types that demand classification techniques beyond traditional port-based and payload-based methods. This tutorial…
cs.NI2025
Taming Volatility: Stable and Private QUIC Classification with Federated Learning
Richard Jozsa, Karel Hynek, Adrian Pekar
Federated Learning (FL) is a promising approach for privacy-preserving network traffic analysis, but its practical deployment is challenged by the non-IID nature of real-world data…