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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 71–80 of 110 papers

TitleStatusHype
When a RF Beats a CNN and GRU, Together -- A Comparison of Deep Learning and Classical Machine Learning Approaches for Encrypted Malware Traffic ClassificationCode0
Darknet Traffic Classification and Adversarial Attacks—0
Network Traffic Anomaly Detection Method Based on Multi scale Residual Feature—0
Federated Semi-Supervised Classification of Multimedia Flows for 3D Networks—0
Deep Learning for Encrypted Traffic Classification and Unknown Data Detection—0
A General Approach for Traffic Classification in Wireless Networks Using Deep Learning—0
CGNN: Traffic Classification with Graph Neural Network—0
Time-Distributed Feature Learning in Network Traffic Classification for Internet of Things—0
Practical and Configurable Network Traffic Classification Using Probabilistic Machine LearningCode0
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification—0
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