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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
The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles' Heel of Cognitive Networks?—0
Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA—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
Deep Packet: A Novel Approach For Encrypted Traffic Classification Using Deep LearningCode1
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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