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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
A General Approach for Traffic Classification in Wireless Networks Using Deep Learning—0
ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic ClassificationCode2
A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic ClassificationCode1
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
Efficient Detection of Botnet Traffic by features selection and Decision Trees—0
Active Learning for Network Traffic Classification: A Technical Study—0
Deep Learning for Network Traffic ClassificationCode1
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