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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 61–70 of 110 papers

TitleStatusHype
Active Learning Framework to Automate NetworkTraffic Classification—0
To Store or Not? Online Data Selection for Federated Learning with Limited Storage—0
Traffic Analytics Development Kits (TADK): Enable Real-Time AI Inference in Networking Apps—0
Segmented Learning for Class-of-Service Network Traffic ClassificationCode0
Open-Source Framework for Encrypted Internet and Malicious Traffic ClassificationCode1
When a RF Beats a CNN and GRU, Together -- A Comparison of Deep Learning and Classical Machine Learning Approaches for Encrypted Malware Traffic ClassificationCode0
Darknet Traffic Classification and Adversarial Attacks—0
Network Traffic Anomaly Detection Method Based on Multi scale Residual Feature—0
Federated Semi-Supervised Classification of Multimedia Flows for 3D Networks—0
Deep Learning for Encrypted Traffic Classification and Unknown Data Detection—0
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