SOTAVerified

Traffic Classification

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–60 of 110 papers

TitleStatusHype
TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic ClassificationCode1
Network Traffic Classification based on Single Flow Time Series AnalysisCode1
Real-time Traffic Classification for 5G NSA Encrypted Data Flows With Physical Channel Records—0
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification—0
MTC: A Multi-Task Model for Encrypted Network Traffic Classification Based on Transformer and 1D-CNNCode1
NetGPT: Generative Pretrained Transformer for Network TrafficCode1
On the Local Cache Update Rules in Streaming Federated Learning—0
Generative Adversarial Classification Network with Application to Network Traffic Classification—0
OMINACS: Online ML-Based IoT Network Attack Detection and Classification System—0
Multi-view Multi-label Anomaly Network Traffic Classification based on MLP-Mixer Neural Network—0
Show:102550
← PrevPage 6 of 11Next →

No leaderboard results yet.