3260 papers • 126 benchmarks • 313 datasets
Traffic Classification is a task of categorizing traffic flows into application-aware classes such as chats, streaming, VoIP, etc. Classification can be used for several purposes including policy enforcement and control or QoS management. Source: Classification of Traffic Using Neural Networks by Rejecting: a Novel Approach in Classifying VPN Traffic
(Image credit: Papersgraph)
These leaderboards are used to track progress in traffic-classification-16
No benchmarks available.
Use these libraries to find traffic-classification-16 models and implementations
No datasets available.
No subtasks available.
Adding a benchmark result helps the community track progress.