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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
Malicious Requests Detection with Improved Bidirectional Long Short-term Memory Neural Networks—0
Malware Traffic Classification: Evaluation of Algorithms and an Automated Ground-truth Generation Pipeline—0
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
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
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