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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 61–70 of 110 papers

TitleStatusHype
On Designing Machine Learning Models for Malicious Network Traffic Classification—0
To Store or Not? Online Data Selection for Federated Learning with Limited Storage—0
On the Local Cache Update Rules in Streaming Federated Learning—0
Outlier detection on network flow analysis—0
PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning—0
Time-Distributed Feature Learning for Internet of Things Network Traffic Classification—0
Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA—0
A Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks—0
When Simple Model Just Works: Is Network Traffic Classification in Crisis?—0
Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers—0
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