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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 101–110 of 110 papers

TitleStatusHype
A Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks—0
Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA—0
The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles' Heel of Cognitive Networks?—0
Augmentation Scheme for Dealing with Imbalanced Network Traffic Classification Using Deep Learning—0
Outlier detection on network flow analysis—0
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges—0
Net2Vec: Deep Learning for the Network—0
Real Time Video Quality Representation Classification of Encrypted HTTP Adaptive Video Streaming - the Case of Safari—0
ITCM: A Real Time Internet Traffic Classifier Monitor—0
Anomaly Detection Framework Using Rule Extraction for Efficient Intrusion Detection—0
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