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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

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Showing 41–50 of 110 papers

TitleStatusHype
Anomaly Detection Framework Using Rule Extraction for Efficient Intrusion Detection—0
Active Learning for Network Traffic Classification: A Technical Study—0
A Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks—0
Generic Multi-modal Representation Learning for Network Traffic Analysis—0
Generative Adversarial Classification Network with Application to Network Traffic Classification—0
Data Augmentation for Traffic Classification—0
Flow-Packet Hybrid Traffic Classification for Class-Aware Network Routing—0
Federated Traffic Synthesizing and Classification Using Generative Adversarial Networks—0
Heterogeneous Data-Aware Federated Learning—0
Darknet Traffic Classification and Adversarial Attacks—0
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