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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 91–100 of 110 papers

TitleStatusHype
Machine Learning-Based Early Detection of IoT Botnets Using Network-Edge Traffic—0
IoT Malware Network Traffic Classification using Visual Representation and Deep Learning—0
Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial VehiclesCode1
Classification of Traffic Using Neural Networks by Rejecting: a Novel Approach in Classifying VPN Traffic—0
Mobile Traffic Classification through Physical Channel Fingerprinting: a Deep Learning Approach—0
MER-SDN: Machine Learning Framework for Traffic Aware Energy Efficient Routing in SDN—0
TEST: an End-to-End Network Traffic Examination and Identification Framework Based on Spatio-Temporal Features Extraction—0
On Designing Machine Learning Models for Malicious Network Traffic Classification—0
Multitask Learning for Network Traffic ClassificationCode0
A Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks—0
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