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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
Real-time Traffic Classification for 5G NSA Encrypted Data Flows With Physical Channel Records—0
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification—0
On the Local Cache Update Rules in Streaming Federated Learning—0
Generative Adversarial Classification Network with Application to Network Traffic Classification—0
OMINACS: Online ML-Based IoT Network Attack Detection and Classification System—0
Multi-view Multi-label Anomaly Network Traffic Classification based on MLP-Mixer Neural Network—0
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
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